Patent Publication Number: US-9886709-B2

Title: Display control device, display control method, search device, search method, program and communication system

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application is a continuation of U.S. application Ser. No. 14/492,610, filed Sep. 22, 2014, which is a continuation of U.S. application Ser. No. 13/396,911, filed Feb. 15, 2012, which claims priority from Japanese Patent Application No. 2011-035886, filed in the Japan Patent Office on Feb. 22, 2011, and Japanese Patent Application No. 2011-035887, filed on Feb. 22, 2011, the entire contents of which are hereby incorporated by reference. 
    
    
     FIELD 
     The present disclosure relates to a display control device, a display control method, a search device, a search method, a program and a communication system, and more particularly, to a display control device, a display control method, a search device, a search method, a program and a communication system which are capable of providing a desired search result to a user on the basis of a small amount of feedback of the user, for example. 
     BACKGROUND 
     For example, an image search system exists in which an image desired by a user (hereinafter, referred to as a desired image) is retrieved from a plurality of images stored in a large capacity recording medium (for example, a hard disk or the like). 
     In this image search system, the user selects an inquiry image which is most similar to the desired image from a plurality of inquiry images presented by the image search system. Further, the image search system presents an image having an image feature amount which is closest to an image feature amount of the selected inquiry image among a plurality of images to the user as the desired image which is most similar to the selected inquiry image. 
     However, in this image search system, in a case where a semantic gap is large, it is difficult to provide the search result which the user desires. Here, the semantic gap refers to a difference generated between an image feature amount used for searching the desired image and a concept used when a person actually recognizes the desired image. 
     That is, in a case where a large gap is present between the similarity of images determined by a person and the similarity of images determined by the image search system, it is difficult to provide the desired image as the search result in the image search system. 
     In this regard, a classifier search technique exists which searches a desired image, for example, using a classifier which performs search to match recognition that a person is capable of, in order to reduce a semantic gap. The classifier is generated in advance by performing statistic learning as teacher data of a large amount of image data obtained by adding a label indicating the similarity to the desired image by a person. 
     According to this classifier, it is possible to reduce the semantic gap and to obtain a search result relatively desired by a user. 
     However, according to the above-described classifier, in a case where a plurality of users selects the same inquiry image, the same search result is provided to all the users, which may not be a desired search result to all the plurality of users. 
     This is because the similarities of images determined by the plurality of different users are different from each other. That is, for example, a first user may feel that the selected inquiry image is similar to an image Q 1  and an image Q 2  but is not similar to an image Q 3 . On the other hand, a second user different from the first user may feel that the selected inquiry image is similar to the image Q 1  and the image Q 3  but is not similar to the image Q 2 . 
     In this regard, a fit feedback technique has been proposed which enhances the search accuracy of a desired image by generating a classifier which matches user recognition on the basis of feedback from a user, for each user (for example, refer to JP-A-10-40268, JP-A-2003-228581 and JP-A-2008-276775). 
     SUMMARY 
     In the fit feedback technique as described above, the feedback of a predetermined amount or more should be performed in order to enhance the search accuracy of the desired image on the basis of the feedback from the user. 
     Thus, there is a need for the user to perform feedback of the predetermined amount or more for the image search system, which is bothersome for the user. 
     Further, for example, in a case where the feedback from the user does not reach the predetermined amount, it is difficult to enhance the search accuracy of the desired image. 
     Accordingly, it is desirable to provide a technique which is capable of searching a desired search target from a plurality of search targets with high accuracy even in a case where the amount of the feedback from the user is small. 
     In accordance with one embodiment, an information processing apparatus may include a control unit to control display of parts information of a plurality of items, to generate search information according to feedback from a user for the parts information, and to control display of a search result according to the search information. 
     In accordance with another embodiment, a search device may include a control unit to control a search of some items based on feedback information from a user for displayed parts information of a plurality of items, where the feedback information indicates whether a part information of at least one of the items is fit for a user preference. 
     In accordance with another embodiment, a method of information processing may include controlling, by a processor, display of parts information of a plurality of items, to generate search information according to feedback from a user for the parts information, and display of a search result according to the search information. 
     In accordance with another embodiment, a method of search may include controlling, by a processor, a search of some items based on feedback information from a user for displayed parts information of a plurality of items, where the feedback information indicates whether a part information of at least one of the items is fit for a user preference. 
     In accordance with another embodiment, anon-transitory recording medium may be recorded with a computer readable program executable by a computer. The program may include controlling display of parts information of a plurality of items, to generate search information according to feedback from a user for the parts information, and display of a search result according to the search information. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  is a block diagram illustrating an example of a configuration of a communication system according to an embodiment of the present disclosure; 
         FIG. 2  is a diagram illustrating an example of a table stored in a classifier shared server; 
         FIG. 3  is a block diagram illustrating an example of a configuration of a user terminal; 
         FIG. 4  is a diagram illustrating an example of a display screen referenced at the time of product purchase; 
         FIG. 5  is a diagram illustrating an example of a display screen referenced at the time of feedback; 
         FIG. 6  is a flowchart illustrating an example of a display control process performed by a user terminal; 
         FIG. 7  is a block diagram illustrating an example of a configuration of a shop server; 
         FIG. 8  is a diagram illustrating statistic learning of a classifier using an SVM; 
         FIG. 9  is a diagram illustrating an example of a calculating method of a target fit; 
         FIG. 10  is a diagram illustrating an example of a calculating method of a part fit when a part image is not present; 
         FIG. 11  is a diagram illustrating an example when a weight multiplied by part fit is changed; 
         FIG. 12  is a flowchart illustrating an example of a first fit calculation process performed by a shop server; 
         FIG. 13  is a flowchart illustrating an example of a second fit calculation process performed by a shop server; 
         FIG. 14  is a diagram illustrating an example of a display screen when a part is added or deleted; and 
         FIG. 15  is a block diagram illustrating an example of a configuration of a computer. 
     
    
    
     DETAILED DESCRIPTION 
     Hereinafter, mode of implementing the present disclosure (hereinafter, referred to as embodiment) will be described in the following order. 
     1. Present embodiment (example when a product is purchased from an internet site) 
     2. Modification 
     1. Present Embodiment 
     [Configuration Example of Communication System  1   
       FIG. 1  illustrates a configuration example of a communication system  1  according to the present embodiment. 
     The communication system  1  includes user terminals  21   1  to  21   N , a network  22  such as the Internet, shop servers  23   1  to  23   M , and a classifier shared server  24 . 
     Hereinafter, in a case where it is not necessary to distinguish the respective user terminals  21   1  to  21   N , the user terminal is simply referred to as a user terminal  21   n . Further, in a case where it is not necessary to distinguish the respective shop servers  23   1  to  23   M , the shop server is simply referred to as a shop server  23   m . 
     The user terminal  21   n  receives GUI (Graphical User Interface) information from the shop server  23   m , as the user terminal  21   n  accesses the shop server  23   m  through the network  22 . Further, the user terminal  21   n  displays a part image indicating each part of products (for example, clothes or the like) which are available in the shop server  23   m , on the basis of the GUI information from the shop server  23   m . The GUI information refers to information for controlling a display by the user terminal  21   n . 
     Further, the user terminal  21   n  generates part preference information indicating a user preference for each part according to a feedback operation of a user, and feeds back the part preference information to the shop server  23   m  through the network  22 . Details about the user terminal  21   n  will be described later with reference to  FIGS. 3 to 6 . 
     The shop server  23   m  is a server which serves as an internet shop for product sale, for example. The shop server  23   m  generates GUI information for displaying a part image for each of a plurality of products for sale according to access from the user terminal  21   n , and supplies the generated GUI information to the user terminal  21   n  through the network  22 , for example. 
     Further, the shop server  23   m  searches a user desired product (for example, a product or the like which a user wants to purchase) from the plurality of products, on the basis of the part preference information from the user terminal  21   n . 
     That is, for example, the shop server  23   m  generates a classifier for classifying whether each product is fit for the user preference, on the basis of the part preference information from the user terminal  21   n , and searches the user desired product on the basis of the generated classifier. 
     Further, the shop server  23   m  generates GUI information for displaying the search result obtained by the search, and supplies the result to the user terminal  21   n  through the network  22 . 
     Further, the shop server  23   m  shares the classifier with a different shop server  23   m ′, for example. Details about the shop server  23   m  will be described later with reference to  FIGS. 7 to 13 . 
     The classifier shared server  24  is connected to, for example, the shop servers  23   1  to  23   M  through the network  22 . Here, the classifier shared server  24  may be included as a component of an arbitrary shop server  23   m . 
     The classifier shared server  24  stores (retains) the classifier generated by the shop server  23   m , for example. The classifier stored in the classifier shared server  24  is appropriately shared with the plurality of shop servers  23   m . 
     That is, for example, the classifier shared server  24  stores a table  24   a  in which a classifier for searching the desired product from the plurality of products which are targets for search is related to each user ID for uniquely classifying each user of the user terminal  21   n , as shown in  FIG. 2 . 
     Next,  FIG. 2  illustrates an example of the table  24   a  stored in the classifier shared server  24 . 
     For example, a classifier m 1  generated in a shop server  23   m1  that specializes in selling cute-style dresses, a classifier m 2  generated in a shop server  23   m2  that specializes in selling adult-style dresses, a classifier m 3  generated in a shop server  23   m3  that specializes in selling cute camisoles, and the like, which are related to a user ID “user 1 ” for uniquely classifying a first user, are stored in the table  24   a.    
     Further, for example, a classifier m 1 ′ generated in a shop server  23   m1′  that specializes in selling cute dresses, a classifier m 2 ′ generated in a shop server  23   m2′  that specializes in selling adult-style dresses, and a classifier m 3 ′ generated in a shop server  23   m3′  that specializes in selling cute-style camisoles, which are related to a user ID “user 2 ” for uniquely classifying a second user different from the first user, are stored in the table  24   a.    
     The classifier m 1  searches a product desired by the first user from the plurality of products “cute dresses” which are search targets, and is shared between the shop servers  23   m1  and  23   m1′  that specialize in selling the “cute-style dresses”, for example. 
     Specifically, for example, the shop server  23   m1  or  23   m1′  each performs search on the basis of the classifier m 1  stored in the classifier shared server  24 , according to access from the user terminal  21   n  of the first user. 
     Further, in a case where a classifier is newly generated on the basis of feedback from the user terminal  21   n , the shop server  23   m1  or  23   m1′  supplies the newly generated classifier to the classifier shared server  24  through the network  22 , and stores the newly generated classifier as the classifier m 1  through overwriting. 
     Similarly, the classifier m 2  searches a product desired by the first user from the plurality of products “adult dresses” which are search targets, and is shared between the shop servers  23   m2  and  23   m2′  that specialize in selling “adult-sized dresses”, for example. Further, the classifier m 3  searches a product desired by the first user from the plurality of products “cute camisoles” which are search targets, and is shared between the shop servers  23   m3  and  23   m3′  that specialize in selling “cute-style camisoles”, for example. This is applied to the classifiers m 1 ′, m 2 ′, and m 3 ′, in a similar way. 
     For example, a sharing method of sharing the classifier m 1  between the shop server  23   m1  and the shop server  23   m1′  will be described later with reference to a flowchart in  FIG. 12 . Further, a different sharing method other than the sharing method of the classifier described with reference to  FIG. 12  will be described later with reference to a flowchart of  FIG. 13 . 
     [Configuration Example of User Terminal  21   n ] 
       FIG. 3  illustrates a configuration example of the user terminal  21   n . 
     The user terminal  21   n  includes a communicating section  41 , a display control section  42 , a display section  43  having a display screen  43   a , a control section  44 , an operating section  45  and a storing section  46 . 
     The communicating section  41  supplies the GUI information which is supplied from the shop server  23   m  through the network  22  to the display control section  42 . 
     Further, the communicating section  41  supplies the part preference information from the control section  44 , to the shop server  23   m  through the network  22 . 
     The display control section  42  displays a part image of each product, for example, as a purchase screen display referenced by a user in product purchasing, on the display screen  43   a  of the display section  43 , on the basis of the GUI information from the communicating section  41 . Details about the purchase screen display displayed on the display screen  43   a  will be described later with reference to  FIG. 4 . 
     Further, the display control section  42  displays a check box or the like for receiving a feedback operation from the user, in addition to the plurality of part images, for example, as a feedback screen display referenced by the user when the feedback operation is performed, on the display screen  43   a  of the display section  43 , under the control of the control section  44 . Details about the feedback screen display displayed on the display screen  43   a  will be described later with reference to  FIG. 5 . 
     The display section  43  is an LCD (Liquid Crystal Display) or the like, and displays the plurality of part images or the check box or the like on the display screen  43   a  under the control of the display control section  42 . 
     As shown in  FIG. 3 , the display section  43  may be a component of the user terminal  21   n , or may be independently installed without being included as the component of the user terminal  21   n . In this case, the display control section  42  in the user terminal  21   n  and the display section  43  which is installed outside the user terminal  21   n  are connected through a cable or the like, for example. 
     The control section  44  controls the communication section  41  and the display control section  42  by executing a control program which is stored in advance in the storing section  46 , for example. Further, for example, the control section  44  generates the part preference information on the basis of an operation signal from the operating section  45 , and then supplies the result to the communicating section  41 . 
     The operating section  45  includes buttons or the like operated by the user. For example, as a feedback operation is performed by the user, the operating section  45  supplies an operation signal corresponding to the feedback operation to the control section  44 . 
     The storing section  46  stores in advance the control program or the like to be executed by the control section  44 . Further, for example, the storing section  46  stores a user ID of a user who uses the user terminal  21   n  or different data. 
     [One Example of Display Screen of Display Section  43 ] 
     Next,  FIG. 4  illustrates a display example of the display screen  43   a  when the purchase screen display referenced in product purchasing is displayed. 
     On the display screen  43   a , a plurality of part informations, such as part images  81   1 ,  81   2 ,  81   3 ,  82   1 ,  82   2 ,  82   3 ,  83   1 ,  83   2 ,  83   3 , . . . , in which each part of clothes A, B, C, . . . is displayed as a product is disposed in a matrix format, on the basis of a fit axis  61  and a part axis  62  (which will be described later). As the part information, for example, a part image, such as an imaged image obtained by imaging each part, a thumbnail image obtained by reducing the imaged image, or the like is employed, or a part text, such as one more text characters the like is employed. 
     Here, the fit axis  61  represents a target fit which is the level of fit between each of the plurality of clothes and the user preference by a fit order  1 ,  2 ,  3 , and so on. This fit order is high as the target fit is high. 
     Further, the part axis  62  represents a name of each part of the clothes, for example. For example, a front surface  62   a , a rear surface  62   b  and a chest  62   c  are sequentially disposed from the top, in the order of parts which are importantly considered in purchase of the clothes on the part axis  62 . The order of the parts may be changed according to the user&#39;s operation. Further, the name of each part may be added or deleted according to the user operation. Addition or deletion of the name according to the user operation will be described later with reference to  FIG. 14 . 
     On the display screen  43   a  in  FIG. 4 , the part images  81   1 ,  81   2  and  81   3  and a detail button  101  of the clothes A ranked as number one in the fit order are disposed in parallel, in a lower direction (in the figure) from the fit order “ 1 ” on the fit axis  61 . The detail button  101  is operated when detailed information of the clothes A (for example, the size, cost or the like of the clothes) is to be displayed. 
     Similarly, on the display screen  43   a  in  FIG. 4 , for example, the part images  82   1 ,  82   2  and  82   3  and a detail button  102  of the clothes B ranked as number two in the fit order are disposed in parallel, in a lower direction (in the figure) from the fit order “ 2 ” on the fit axis  61 . Further, the part images  83   1 ,  83   2  and  83   3  and a detail button  103  of the clothes C ranked as number three in the fit order are disposed in parallel, in a lower direction (in the figure) from the fit order “ 3 ” on the fit axis  61 . 
     Further, on the display screen  43   a  in  FIG. 4 , the part images  81   1 ,  82   1  and  83   1  which display a part of each front surface portion of the clothes A, B, C and so on are disposed in a right direction (in the figure) from the front surface  62   a  on the part axis  62 . Further, the part images  81   2 ,  82   2  and  83   2  which display a part of each rear surface portion of the clothes A, B, C and so on are disposed in a right direction (in the figure) from the rear surface  62   b  on the part axis  62 . Further, the part images  81   3 ,  82   3  and  83   3  which display a part of each chest portion of the clothes A, B, C and so on are disposed in a right direction (in the figure) from the chest  62   c  on the part axis  62 . 
     For example, the user may perform a pressing operation of pressing the detail button  101  using the operating section  45  so that detailed information about the clothes A corresponding thereto can be displayed. This is similarly applied to the detail buttons  102  and  103 . 
     Further, when the user finds clothes that fit the user preference (for example, satisfactory clothes) by referring to the detailed information or the part images, the user can perform a procedure of purchasing the clothes on the display screen  43   a.    
     As shown in  FIG. 4 , the plurality of image parts  81   1 ,  81   2 ,  81   3 ,  82   1 ,  82   2 ,  82   3 ,  83   1 ,  83   2 ,  83   3  and so on are displayed on the display screen  43   a , but a display method of the image parts is not limited thereto. 
     That is, for example, among the plurality of part images shown in  FIG. 4 , only part images of a predetermined number may be displayed on the display screen  43   a . In this case, in order to display the part images which are not displayed on the display screen  43   a  on the display screen  43   a , a scroll bar, a page sending button or the like for displaying the next part image is installed. 
     Further, for example, on the display screen  43   a , instead of the scroll bar, the part image may be slid (moved) in the right and left directions (in the figure) for the part image of each part. However, in this case, for example, since the part image of which the fit order is not “1” may be displayed below the fit order “ 1 ” on the fit axis  61  due to the sliding of the part image, it is preferable that the fit order on the fit axis  61  be added to each part image to be displayed. 
     Further, for example, as shown in  FIG. 4 , a configuration may be employed in which part images corresponding to the fit orders  1 ,  2 ,  3  on the fit axis  61  and so on are all displayed on the display screen  43   a , and only the part image corresponding to the fit order n is displayed. 
     Further, for example, as shown in  FIG. 4 , all of the part images corresponding to names of the respective parts on the part axis  62  may be displayed on the display screen  43   a , or only the part images corresponding to the name of an arbitrary part may be displayed. 
     Further, for example, as shown in  FIG. 4 , the fit axis  61  and the part axis  62  are displayed on the display screen  43   a , but at least one of the fit axis  61  and the part axis  62  may not be displayed. 
     The above-described part image display and the display of the fit axis  61  and the part axis  62  may be changed according to a user operation. 
     [User Feedback] 
     Next,  FIG. 5  illustrates a display example of the display screen  43   a  when the feedback screen referenced when the feedback operation is performed by the user is displayed. 
     Since the same reference numerals are given to the same components of the display screen  43   a  in  FIG. 5  as the display screen  43   a  in  FIG. 4 , detailed description thereof will be appropriately omitted. 
     That is, the display screen  43   a  in  FIG. 5  is the same as the display screen  43   a  in  FIG. 4  except that check boxes operated by the feedback operation of the user are disposed under each part image, and a search button  121  is disposed in a right lower section thereof, instead of the detail buttons  101  to  103 . 
     Under the part image  81   1 , a fit box  81   a   1  and an unfit box  81   b   1  are disposed as the check boxes. The fit box  81   a   1  is operated to add a fit label indicating that apart displayed in the part image  81   1  is fit for the user preference to the part image  81   1 . Further, the unfit box  81   b   1  is operated to add an unfit label indicating that a part displayed in the part image  81   1  is unfit for the user preference to the part image  81   1 . 
     With respect to other part images, the fit box and the unfit box are disposed in the same way as in the part image  81   1 . 
     That is, for example, a fit box  81   a   2  and an unfit box  81   b   2  are disposed under the part image  81   2 , and a fit box  81   a   3  and an unfit box  81   b   3  are disposed under the part image  81   3 , respectively. Further, a fit box  82   a   1  and an unfit box  82   b   1  are disposed under the part image  82   1 , and a fit box  82   a   2  and an unfit box  82   b   2  are disposed under the part image  82   2 , and a fit box  82   a   3  and an unfit box  82   b   3  are disposed under the part image  82   3 , respectively. Further, a fit box  83   a   1  and an unfit box  83   b   1  are disposed under the part image  83   1 , and a fit box  83   a   2  and an unfit box  83   b   2  are disposed under the part image  83   2 , and a fit box  83   a   3  and an unfit box  83   b   3  are disposed under the part image  83   3 , respectively. 
     The user performs the feedback operation of assigning at least one of the fit label and the unfit label using the part in the part image displayed on the display screen  43   a  as a target, using the operating section  45 . 
     That is, for example, in the case shown in  FIG. 5 , the user is interested in purchasing the clothes including the part on the part image  81   2  and the part on the part image  83   3 . 
     Accordingly, as shown in  FIG. 5 , the user performs the feedback operation of checking the fit box  81   a   2  of the part image  81   2  and the fit box  83   a   3  of the part image  83   3 , respectively. 
     Further, for example, the user may not be interested in purchasing of the clothes including the part on the part image  83   2 . 
     Accordingly, as shown in  FIG. 5 , the user performs the feedback operation of checking the unfit box  83   b   2  of the part image  83   2 . 
     Further, in a state where the fit box  81   a   2 , the fit box  83   a   3  and the unfit box  83   b   2  are checked, the user performs a pressing operation of pressing the search button  121  using the operating section  45 . 
     According to the feedback operation or the pressing operation from the user, the operating section  45  supplies an operation signal corresponding thereto to the control section  44 . Further, the control section  44  generates part preference information indicating that the fit labels are added to the part image  81   2  and the part image  83   3 , and the unfit label is added to the part image  83   2 , on the basis of the operation signal from the operating section  45 , and supplies the part preference information to the communicating section  41 . The communicating section  41  supplies the part preference information from the control section  44  to the shop server  23   m  through the network  22 . 
     The shop server  23   m  generates a classifier on the basis of the part preference information supplied from the communicating section  41  through the network  22 . Further, the shop server  23   m  searches a product desired by the user (for example, a product which the user wants to purchase), on the basis of the generated classifier. 
     [Operation of User Terminal  21   m ] 
     Next, a display control process performed by the user terminal  21   n  will be described with reference to a flowchart of  FIG. 6 . 
     For example, the display control process is started when an operation is performed in which a user browses a product which is sold in the shop server  23   m  which serves as an internet shop using the operating section  45  on the display screen  43   a . At this time, the control section  44  reads the user ID stored in the storing section  46  according to the operation signal from the operating section  45  and supplies the user ID to the communicating section  41 . 
     Further, in step S 1 , the communicating section  41  transmits the user ID from the control section  44  to the shop server  23   m  through the network  22 , under the control of the control section  44 . 
     In this regard, the shop server  23   m  determines whether a classifier (hereinafter, also referred to as a “search target classifier”) for searching a desired product from the plurality of products which are search targets is present in the classifier shared server  24 , using the user ID supplied from the communicating section  41  through the network  22 . 
     The shop server  23   m  performs the search using the search target classifier in a case where it is determined that the search target classifier is present in the classifier shared server  24 . Further, the shop server  23   m  generates GUI information indicating a search result obtained as a result of the search, and supplies the GUI information to the communicating section  41  through the network  22 . 
     Further, in a case where it is determined that the search target classifier is not present in the classifier shared server  24 , the shop server  23   m  transmits a request signal which requires transmission of a search key used for searching the product to the communicating section  41  through the network  22 . 
     In step S 2 , the communicating section  41  determines whether the transmission of the search key is required, that is, whether the request signal is received or the GUI information is received from the shop server  23   m  through the network  22 , according to the user ID transmission. 
     In step S 2 , in a case where it is determined that the request signal is received from the shop server  23   m  through the network  22 , the communicating section  41  supplies the received request signal to the control section  44 , and then the routine proceeds to step S 3 . 
     In step S 3 , the control section  44  controls the display control section  42  to display an input screen display which demands a search key input on the display screen  43   a  of the display section  43 . As the search key, an inquiry image, which is input (selected) by the user, indicating that it is a product similar to a desired product among a plurality of inquiry images presented to the user terminal  21   n  a keyword, which is input by the user, relating to the desired product, or the like is employed. 
     Further, as the user performs the input operation of inputting the search key using the operating section  45 , the operating section  45  supplies the operation signal corresponding to the input operation of the user to the control section  44 . 
     The control section  44  discerns the search key on the basis of the operation signal from the operating section  45 , and supplies the result to the communicating section  41 . The communicating section  41  transmits the search key from the control section  44  to the shop server  23   m  through the network  22 . 
     In this regard, the shop server  23   m  performs search on the basis of the search key supplied from the communicating section  41  through the network  22 . Here, in a case where the search key is the inquiry image, the shop server  23   m  performs the search on the basis of an image feature amount of the inquiry image, and in a case where the search key is the keyword, the shop server  23   m  performs the search using the keyword as meta information. 
     The shop server  23   m  generates the GUI information for displaying the search result obtained by the search, and supplies the result to the communicating section  41  through the network  22 . 
     Further, the communicating section  41  supplies the GUI information supplied from the shop server  23   m  through the network  22  to the display control section  42 , and then allows the routine to proceed to step S 4 . 
     Further, in step S 2 , in a case where it is determined that the transmission of the search key is not required, that is, in a case where the GUP information is received from the shop server  23   m  through the network  22 , the communicating section  41  supplies the received GUI information to the display control section  42 , and then allows the routine to proceed to step S 4 . 
     In step S 4 , the display control section  42  displays the purchase screen display as shown in  FIG. 4  on the display screen  43   a  on the basis of the GUI information from the communicating section  41 . 
     Further, in a case it is determined that a screen change operation is performed by the user on the basis of the operation signal from the operating section  45 , the control section  44  allows the routine to proceed to step S 5 , and controls the display control section  42  to change the display of the display screen  43   a.    
     That is, in step S 5 , the display control section  42  changes the display of the display screen  43   a  to the feedback screen display from the purchase screen display, as shown in  FIG. 5 , under the control of the control section  44 . 
     In step S 6 , the control section  44  determines whether labeling is performed by the user, on the basis of the operation signal from the operating section  45 , and repeats the process of step S 6  until it is determined that the labeling is performed. 
     That is, in step S 6 , the control section  44  determines whether the user performs the feedback operation with reference to the feedback screen display on the display screen  43   a , and determines whether the user performs the pressing operation of pressing the search button  121 , on the basis of the operation signal from the operating section  45 . 
     In step S 6 , in a case where it is determined that the labeling is performed by the user, the control section  44  allows the routine to proceed to step S 7 , and then generates part preference information on the basis of the operation signal from the operating section  45  and supplies the part preference information to the communicating section  41 . 
     In step S 8 , the communicating section  41  transmits the part preference information from the control section  44  to the shop server  23   m  through a network  22 . In this regard, the shop server  23   m  generates a classifier through statistic learning based on the part preference information transmitted through the network  22 , and performs the search using the generated classifier. Further, the shop server  23   m  generates GUI information for indicating the search result obtained by the search, and supplies the GUI information to the communicating section  41  through the network  22 . 
     In step S 9 , the communicating section  41  supplies the GUI information supplied from the shop server  23   m  through the network  22  to the display control section  42 . The display control section  42  updates the feedback screen display on the display screen  43   a  to a new purchase screen display on the basis of the GUI information from the communication section  41 , and then allows the routine to return to step S 5  to repeat the same processes. The display control process is ended when an ending operation indicating ending of the display control process is performed by the user, for example. 
     As described above, according to the display control process, by displaying the feedback screen as shown in  FIG. 5  on the display screen  43   a , the labeling is performed on each part of the product by the feedback operation of the user. 
     Accordingly, the user terminal  21   n  can feed back more detailed user preferences to the shop server  23   m  as the part preference information by the feedback operation of the user, compared with the case where the labeling is performed to the product itself. 
     Thus, even in a case where the amount of the part preference information from the user terminal  21   n  is relatively small, the shop server  23   m  can generate the classifier with high search accuracy. 
     That is, for example, in the case where the labeling is performed to the product itself, it is difficult to know which part of the respective parts of the product is labeled. Thus, in this case, in the statistic learning of generating a classifier, a large amount of labeled image data is required as teacher data. 
     On the other hand, in a case where the labeling is performed to each part of the product, it is clear which part is labeled. Accordingly, in this case, by the statistic learning using a small amount of labeled part images, it is possible to generate a classifier with high search accuracy. 
     Further, even in a case where the amount of the part preference information from the user terminal  21   n  is relatively small, since the shop server  23   m  can generate the classifier with high search accuracy, it is possible to reduce the feedback operation of the user, to thereby reduce the burden on the user. 
     Further, according to the display control process, since the purchase screen display as shown in  FIG. 4  is displayed on the display screen  43   a , compared with the case of a product image display in which all the products are displayed, the user can compare different products in a detailed part unit. 
     [Configuration Example of Shop Server  23   m ] 
     Next,  FIG. 7  illustrates a configuration example of the shop server  23   m . 
     The shop server  23   m  includes a communicating section  141 , an initial screen generating section  142 , a storing section  143 , a classifier generating section  144 , a fit calculating section  145 , a GUI updating section  146  and a control section  147 . 
     The communicating section  141  reads a classifier shared with a shop server  23   m′ , from the classifier shared server  24  through the network  22 , on the basis of the user ID supplied from the user terminal  21   n  through the network  22 , and supplies the classifier to the fit calculating section  145 . 
     Further, in a case where the classifier shared with the shop server  23   m′  is not present in the classifier shared server  24 , the communicating section  141  generates a request signal which requires for a search key, and then transmits the request signal to the user terminal  21   n  through the network  22 . 
     Further, according to the transmission of the request signal, the communicating section  141  supplies the search key supplied from the user terminal  21   n  through the network  22  to the initial screen generating section  142 . 
     Further, the communicating section  141  supplies the part preference information supplied from the user terminal  21   n  through the network  22 , to the classifier generating section  144 . Further, the communicating section  141  supplies the GUI information from the initial screen generating section  142  or the GUI updating section  146  to the user terminal  21   n  through the network  22 . 
     The initial screen generating section  142  generates a GUI for displaying an initial screen with respect to the accessed user terminal  21   n . That is, for example, the initial screen generating section  142  performs search on the basis of the search key from the communicating section  141 , displays GUI information for displaying the search result obtained by the search, and then supplies the GUI information to the communicating section  141 . 
     The storing section  143  is a hard disk or the like, for example, and stores in advance the plurality of part images for each of the plurality of products each of which is sold in the shop server  23   m . Specifically, for example, the storing section  143  stores in advance the plurality of part images (for example, part images  81   1  to  81   3 , part images  82   1  to  82   3 , part images  83   1  to  83   3 , and so on) in the clothes as a product. 
     Further, it is assumed that the storing section  143  stores a product image of each product which is sold in the shop server  23   m . The product image is used, for example, when the search is performed on the basis of the search key, in the initial screen generating section  142 . 
     The classifier generating section  144  may generate a classifier (function) using an SVM (Support Vector Machine), for example, on the basis of the part preference information from the communicating section  141 , and supplies the classifier to the fit calculating section  145 . Details of the SVM will be described later with reference to  FIG. 8 . 
     Here, the classifier generating section  144  may generate the classifier using a Bayes classifier, boosting algorithm or the like, instead of the SVM. 
     The fit calculating section  145  calculates a part fit indicating the level that the part displayed in the part image is fit for the user preference for each of the plurality of part images, on the basis of the classifier from the classifier generating section  144  or the classifier from the communicating section  141 . 
     Further, the fit calculating section  145  calculates a target fit indicating the level that the product which is a retireval target is fit for the user preference on the basis of the part fit calculated for each of the plurality of part images, and then supplies the result to the GUI updating section  146 . 
     Details of the process performed by the fit calculating section  145  will be described later with reference to  FIGS. 9 to 11 . 
     The GUI updating section  146  generates GUI information for updating the GUI of the display screen  43   a  in the accessing user terminal  21   n . 
     That is, for example, the GUI updating section  146  searches a product desired by the user from the plurality of products on the basis of the target fit from the fit calculating section  145 , generates GUI information for displaying the search result obtained by the search, and then supplies the result to the communicating section  141 . 
     The control section  147  controls the communicating section  141 , the initial screen generating section  142 , the classifier generating section  144 , the fit calculating section  145  and the GUI updating section  146 . 
     Next,  FIG. 8  illustrates an example of a case where the classifier generating section  144  generates a classifier by the statistic learning using the SVM. 
     In  FIG. 8 , for example, the classifier generating section  144  reads four part images (hereinafter, referred to as “positive images”) to which a fit label is added and three part images (hereinafter, referred to as “negative images”) to which an unfit label is added, from the storing section  143 , on the basis of the part preference information from the communicating section  141 . 
       FIG. 8  illustrates a coordinate plane defined by two axes of an X axis representing an image feature amount x, and Y axis representing an image feature amount y. On the coordinate plane, four image feature amounts (x 1 , y 1 ) to (x 4 , y 4 ) which are respectively extracted from four positive images are disposed as four coordinates indicated by a circle sign. 
     Further, on the coordinate plane, three image feature amounts (x 5 , y 5 ) to (x 7 , y 7 ) which are respectively extracted from three negative images are disposed as three coordinates indicated by an X sign. 
     The classifier generating section  144  extracts the four image feature amounts (x x1 , y 1 ) to (x 4 , y 4 ) from the four positive images, respectively, and extracts the three image features (x 5 , y 5 ) to (x 7 , y 7 ) from the three negative images, respectively. 
     Further, the classifier generating section  144  determines a separating hyperplane on the basis of seven image feature amounts (x 1 , y 1 ) to (x 7 , y 7 ). The separating hyperplane is determined so that a margin which is a distance between the separating hyperplane and the image feature amount (in the case of  FIG. 8 , (x 1 , y 1 ) and (x 5 , y 5 )) called a support vector, which is disposed in the vicinity of the separating hyperplane is maximized. 
     Further, the classifier generating section  144  generates a classifier which calculates the part fit for each of the plurality of part images, on the basis of the determined separating hyperplane, and then supplies the result to the fit calculating section  145 . 
     Here, for ease of description, the classifier generating section  144  generates one classifier as described with reference to  FIG. 8 . 
     However, the classifier generating section  144  may generate a plurality of weak classifiers or may generate one classifier including the generated plurality of weak classifiers. Further, the classifier generating section  144  may generates a plurality of classifiers which calculates the part fit for each part image of a different part. 
     Next, an example in a case where the fit calculating section  145  calculates a plurality of part fits P in  for each part of a target (search target) n, and calculates a target fit r n  of the target n on the basis of the calculated plurality of part fits, will be described with reference to  FIGS. 9 to 11 . 
     The fit calculating section  145  calculates the part fit P in  indicating the fit level of the user preference and the part for each of the plurality of part images, on the basis of the classifier from the classifier generating section  144 . 
     That is, for example, the fit calculating section  145  calculates a distance between a coordinate point  161  of the image feature amount (x x1 , y 1 ) and the separating hyperplane as the part fit of the part image corresponding to the image feature amount (x 1 , y 1 ). Further, for example, the fit calculating section  145  calculates a multiplication result obtained by multiplying a distance between a coordinate point  162  of the image feature amount (x 5 , y 5 ) and the separating hyperplane by −1 as the part fit of the part image corresponding to the image feature amount (x 5 , y 5 ). 
     Further, the fit calculating section  145  calculates the target fit r n  for each target n using the next expression (1) on the basis of the part fit P in .
 
r n =Σw i P in   (1)
 
     In expression (1), i=0, 1, 2, . . . , I, and n=0, 1, 2, 3, 4, . . . , N (different from the suffix n of the user terminal  21   n ). Further, Σ represents a product-sum operation of w i  and P in , and a weight w i  is exp(−ai)=1/e ai . Further, a&gt;0, and e represents a base of natural logarithm (exponential). 
     Specifically, for example, as shown in  FIG. 9 , the fit calculating section  145  calculates a target fit r 1  (=w 0 P 01 +w 1 P 11 +w 2 P 21 ) of a target  1 , on the basis of a part fit P 01  of a part image  82   1 , a part fit P 11  of a part image  82   2 , and a part fit P 21  of a part image  82   3 . In  FIG. 9 , i=0, 1, 2, . . . , and n=0, 1, 2, 3, 4, . . . , N. 
     The fit calculating section  145  supplies the target fits r 0 , r 1 , . . . , r N  calculated for each of the targets  0 ,  1 , . . . , N to the GUI updating section  146 . 
     The GUI updating section  146  generates the GUI information for displaying the part image so that the corresponding fit order on the fit axis  61  is high as the target fits is high, on the basis of the target fits r 0 , r 1 , . . . , r N  from the fit calculating section  145 , and then supplies the result to the communicating section  141 . 
     Next, a processing example in a case where a part of the part images is not present will be described with reference to  FIG. 10 . 
     For example, as shown in  FIG. 10 , in a case where a part image  84   2  is not present, the fit calculating section  145  cannot calculate the part fit P 13  of the part image  84   2  using the classifier from the communicating section  141  or the classifier generating section  144 . The reason is that the classifier calculates the part fit P 13  on the basis of the part image  84   2 . 
     In this case, for example, the fit calculating section  145  calculates an average value of the part fits P 10 , P 11 , P 12 , P 14 , . . . of the respective part images  81   2 ,  82   2 ,  83   2 ,  85   2 , . . . in which the parts of the same rear surface portion are displayed, as the part fit P 13  of the part image  84   2 . 
     Accordingly, for example, even in a case where the part image  84   2  is not present, since it is possible to calculate the part fit P 13  of the part image  84   2 , it is possible to calculate the target fit r 3  of the target  3 . 
     Further, for example, the fit calculating section  145  may conveniently treat the part fit P 13  of the part image  84   2  which is not present, as an integer C (for example, 0), to thereby calculate the target fit r 3  of the target  3 . 
     As described above, the fit calculating section  145  uses the weight w i  (=exp(−ai)) which is changed according to the part importance i when the target fit r n  is calculated, which is not limitative. 
     That is, for example, in the user terminal  21   n , the part to which any one of the fit label and the unfit label is added may be given a low importance i by the user, and may set the weight w i  of the corresponding part to 0. 
     Here, in  FIG. 11 , the fit label (indicated by a black frame) is added to the part image  81   1  and the part image  82   1 , and the unfit label (indicated by a white frame) is added to the part image  85   1 . Accordingly, in the part images which display the parts of the front surface portion, the fit label or the unfit label is added three times. 
     Further, for example, the fit label is added to the part image  82   3  and the part image  83   3 . Accordingly, in the part images which display the parts of the chest portion, the fit label or the unfit label is added two times. 
     However, in  FIG. 11 , the fit label or the unfit label is not added to any one of the part images  81   2 ,  82   2 ,  83   2 ,  84   2 ,  85   2 , . . . , which are surrounded by a solid line. Accordingly, in the part images which display the parts of the rear surface portion, the fit label or the unfit label is not added. 
     In the case as shown in  FIG. 11 , the fit calculating section  145  may calculate the target fit r n  using the weight w 1  corresponding to the parts of the rear surface portion as 0. 
     Further, for example, the fit calculating section  145  may calculate the target fit r n  by changing the corresponding weight w i  to weight w i ′(=k×w i ), for example, according to the addition times k of the fit label or the unfit label. 
     Specifically, for example, in the case as shown in  FIG. 11 , the fit calculating section  145  calculates the target fit r n  by changing weight w 0  to weight w 0 ′(=3×w 0 ), by changing weight w 1  to weight w 1 ′(=0×w 1 ), and by changing weight w 2  to weight w 2 ′(=2×w 2 ), respectively. 
     [Operation of Shop Server  23   m ] 
     Next, a first fit calculation process performed by, for example, the shop server  23   m1  will be described with reference to a flowchart of  FIG. 12 . 
     The shop server  23   m1  is a shop server that specializes in selling “cute-style dresses”, and shares the classifier m 1  with the shop server  23   m1  that similarly specializes in selling “cute-style dresses”. The classifier m 1  is generated in the shop server  23   m1  or the shop server  23   m1′  and is stored in the classifier shared server  24 . 
     The first fit calculation process is started when the communication with the user terminal  21   n  is started, for example. 
     In step S 21 , for example, the communicating section  141  receives the user ID “user 1 ” transmitted from the user terminal  21   n  operated by the first user through the network  22 . 
     In step S 22 , the communicating section  141  determines whether the classifier m 1  corresponding to the received user ID “user 1 ” is stored in the classifier shared server  24 , with reference to the table  24   a  of the classifier shared server  24  which is connected through the network  22 . 
     If it is determined in step S 22  that the classifier m 1  is not stored in the classifier shared server  24 , the communicating section  141  allows the routine to proceed to step S 23 . Further, the communicating section  141  transmits a request signal which requests a search key to the user terminal  21   n  through the network  22 , under the control of the control section  147 . 
     In step S 24 , the communicating section  141  receives the search key transmitted from the user terminal  21   n  through the network  22  and supplies the search key to the initial screen generating section  142 , as the request signal is transmitted. 
     In step S 25 , the initial screen generating section  142  calculates the target fit of each product, on the basis of the search key from the communicating section  141 . 
     That is, for example, in a case where the search key is an inquiry image, the initial screen generating section  142  extracts an image feature amount from the inquiry image, and calculates the similarity between the extracted image feature amount and an image feature amount of a product image which displays the product as the target fit. 
     Further, for example, in a case where the search key is a keyword, the initial screen generating section  142  calculates the target fit so that the target fit becomes high for the product displayed in the product image having the keyword as meta information. 
     Further, the initial screen generating section  142  performs the search of the product desired by the user on the basis of the target fit calculated for each product, generates GUI information for displaying the search result obtained by the search, and then supplies the result to the communicating section  141 . 
     In step S 26 , the communicating section  141  transmits the GUI information from the initial screen generating section  142  to the user terminal  21   n  through the network  22 , and then allows the routine to proceed to step S 32 . Thereafter, the search with higher search accuracy is performed according to the feedback operation of the user. Processes of step S 32  and thereafter will be described later. 
     Further, if it is determined in step S 22  that the classifier m 1  is stored in the classifier shared server  24 , the communicating section  141  reads the classifier m 1  from the classifier shared server  24  through the network  22 , supplies the result to the fit calculating section  145 , and then allows the routine to proceed to step S 27 . 
     In step S 27 , the fit calculating section  145  calculates the part fit for each of the plurality of part images which are stored in the storing section  143 , on the basis of the classifier m 1  from the communicating section  141 , and allows the routine to proceed to step S 28 . 
     In step S 28 , the fit calculating section  145  calculates the target fit of each product which is the search target, on the basis of the part fit for each of the plurality of part images, calculated in the process of step S 27 , and then supplies the result to the GUI updating section  146 . 
     In step S 29 , the GUI updating section  146  performs search on the basis of the target fit of each product from the fit calculating section  145 . Further, in step S 30 , the GUI updating section  146  generates the GUI information for displaying the search result obtained by the search in step S 29 , and then supplies the result to the communicating section  141 . 
     In step S 31 , the communicating section  141  transmits the GUI information from the GUI updating section  146  to the user terminal  21   n  through the network  22 , and then allows the routine to proceed to step S 32 . 
     In step S 32 , the communicating section  141  waits until the part preference information is received from the user terminal  21   n  through the network  22 . That is, as labeling is performed by the user in the user terminal  21   n  and the search button  121  in  FIG. 5  is pressed, the communicating section  141  waits until the part preference information is transmitted from the user terminal  21   n . 
     Further, in a case where the part preference information is received from the user terminal  21   n  through the network  22 , the communicating section  141  supplies the received part preference information to the classifier generating section  144 , and then allows the routine to proceed to step S 33 . 
     In step S 33 , the classifier generating section  144  discerns the labeled part image on the basis of the part preference information from the communicating section  141 , generates (learns) a new classifier m 1  on the basis of the labeled part image, and then supplies the result to the fit calculating section  145 . The new classifier m 1  is supplied to the classifier shared server  24  from the classifier generating section  144  through the communicating section  141  and the network  22 , and is stored by overwriting. 
     In step S 34 , the fit calculating section  145  calculates the part fit for each of the plurality of part images stored in the storing section  143  on the basis of the new classifier m 1  from the classifier generating section  144 , and then allows the routine to return to step S 28 . 
     Further, in step S 28 , the fit calculating section  145  calculates the target fit of each product on the basis of the part fit for each of the plurality of part images, calculated in the process of step S 34 , supplies the result to the GUI updating section  146 . Then, the routine proceeds to step S 29 , to repeat the same processes thereafter. For example, the first fit calculation process is ended when the communication with the user terminal  21   n  is ended. 
     As described above, according to the first fit calculation process, since the classifier is generated on the basis of the part preference information indicating each labeled part from the user terminal  21   n , it is possible to generate the classifier with a small amount of part preference information, compared with a case where entire preference information indicating the labeled product itself is used. 
     Further, in step S 27 , the shop server  23   m1  uses the classifier m 1  which is generated, for example, by the shop server  23   m1′  and is stored in the classifier shared server  24 . Accordingly, the shop server  23   m1  should not generate the classifier from the beginning, and it is possible to obtain a search result desired by the user, with less feedback operation of the user. 
     However, in the first fit calculation process, if it is determined in step S 22  that the classifier m 1  is not stored in the classifier shared server  24 , the target fit is calculated on the basis of the search key in steps S 23  to S 25 . 
     However, if the classifier m 1  is not stored, as described with reference to  FIG. 13 , the classifier m 2  of the search target which belongs to a category which is similar to a category of each product which is the search target may be used instead of the search key, to thereby calculate the target fit. 
     [Other Operations of Shop Server  23   m ] 
     Next, a second fit calculation process performed, for example, by the shop server  23   m1  will be described with reference to a flowchart of  FIG. 13 . 
     The second fit calculation process is different from the first fit calculation process in that processes of steps S 53  and S 58  are newly added, but is the same as the first fit calculation process in the other processes. 
     In steps S 51  and S 52 , the same processes as in steps S 21  and S 22  in  FIG. 12  are performed, respectively. In a case where it is determined in step S 52  by the communicating section  141  that the classifier m 1  is not stored in the classifier shared server  24 , the routine proceeds to step S 53 . 
     In step S 53 , the communicating section  141  determines whether the classifier m 2  is stored in the classifier shared server  24  with reference to the table  24   a  of the classifier shared server  24  which is connected through the network  22 . 
     That is, the communicating section  141  determines whether the classifier m 2  generated by the feedback operation which is performed for each product of a category which is similar to a category “cute-style dresses” of each product which is the search target, that is, a similar category “adult-style dresses” which is common in that they are dresses is stored in the classifier shared server  24 . 
     If it is determined in step S 53  that the classifier m 2  is not stored in the classifier shared server  24 , the communicating section  141  allows the routine to proceed to step S 54 . In steps S 54  to S 57 , the same processes as in steps S 23  to S 26  in  FIG. 12  are performed. 
     In steps S 59  to S 66 , the same processes as in steps S 27  to S 34  of  FIG. 12  are performed. 
     Further, if it is determined in step S 53  that the classifier m 2  is stored in the classifier shared server  24 , the communicating section  141  reads the classifier m 2  from the classifier shared server  24  through the network  22 , supplies the classifier m 2  to the fit calculating section  145 , and then allows the routine to proceed to step S 58 . 
     In step S 58 , the fit calculating section  145  calculates the part fit for each of the plurality of part images stored in the storing section  143  on the basis of the classifier m 2  from the communicating section  141 , and then allows the routine to proceed to step S 60 . 
     In step S 60 , the fit calculating section  145  calculates the target fit of each product on the basis of the part fit for each of the plurality of part images, calculated in the process of step S 58 , and supplies the calculated target fit to the GUI updating section  146 . Thereafter, the routine proceeds to step S 61 , and then the same processes are repeated. The second fit calculation process is ended when the communication with the user terminal  21   n  is ended, for example. 
     As described above, according to the second fit calculation process, even in a case where the classifier m 1  is not present in the classifier shared server  24 , since it is possible to perform the search using the classifier m 2  without using the search key, it is possible to generate GUI information for displaying a product desired by the user, compared with a case where the search is performed using the search key. 
     In the second fit calculation process, in a case where the classifier m 1  is not stored, the classifier m 2  which is completely stored is used instead of the classifier m 1 , but a plurality of classifiers may be used, for example. 
     That is, for example, the shop server  23   m   1  may use the classifier m 3  of the target “cute camisoles” which is common in that they are classified as cute, in addition to the classifier m 2  of the target “adult-style dresses” which is common in that they are dresses. 
     In this case, for example, the search is performed on the basis of an average value (α+β)/2 of a target fit α which is calculated on the basis of the classifier m 2  and a target fit β which is calculated on the basis of the classifier m 3 . 
     Accordingly, for example, even in a case where the target fit α does not appropriately represent the user preference, when the target fit β is relatively fit for the user preference, it is possible to obtain the search result which is further fit for the user preference, compared with the search result using the target fit α. 
     As described above, in the first fit calculation process, the shop server  23   m1  shares the classifier m 1  which is completely stored in the classifier shared server  24 , with the shop server  23   m1′ . Further, in the second fit calculation process, in a case where the classifier m 1  is not stored in the classifier shared server  24 , the shop server  23   m1  uses the classifier m 2  with respect to a product group which is similar to a product group which is the search target, instead of the classifier m 1 . 
     Here, the shop server  23   m1  uses only the classifiers m 1 , m 2  and m 3  which are stored corresponding to the user ID “user 1 ” of the first user, in the first user of the accessing user terminal  21   n , but the classifiers to be used are not limited thereto. 
     Further, for example, in a case where the first user purchases a predetermined product and presents the product to the second user, the classifier m 1 ′ may be used instead of the classifier m 1  in the first fit calculation process, but the classifiers m 1 ′ and m 2 ′ may be used instead of the classifiers m 1  and m 2  in the second fit calculation process. 
     In this case, the shop server  23   m1  may generate GUI information according to the preference of the second user, and may display the search result fit for the preference of the second user on the display screen  43   a  of the user terminal  21   n  corresponding to the first user. 
     Thus, the first user may purchase the product fit for the preference of the second user while referencing the purchase screen display which is displayed on the display screen  43   a . In a case where an input operation of inputting the search key or the feedback operation is performed by the first user in the user terminal  21   n , the input operation or the feedback operation is performed in consideration of the preference of the second user instead of the preference of the first user. 
     Further, for example, in a case where the first user corresponding to the user ID “user 1 ” and the second user corresponding to the user ID “user 2 ” jointly purchase the same product from the shop server  23   m1 , the classifier m 1 ′ in addition to the classifier m 1  may be used. 
     In this case, the shop server  23   m1  may generate GUI information according to the preference of the first user and the preference of the second user, to thereby display the search result fit for both of the preference of the first user and the preference of the second user, on the display screen  43   a  of the user terminal  21   n . 
     Thus, the first user may purchase the product fit for the preferences of the first and second users, while referencing the purchase screen display displayed on the display screen  43   a . In the user terminal  21   n , in a case where the input operation of inputting the search key or the feedback operation is performed by the first user, the input operation or the feedback operation is performed in consideration of the preference of the second user in addition to the preference of the first user. 
     [Change of Part Axis  62 ] 
     In the present embodiment, for example, as shown in  FIG. 4 , in the part axis  62 , the front surface  62   a , the rear surface  62   b  and the chest  62   c  are sequentially disposed from the top in the figure, but the display order of the names of the parts is not limited thereto. 
     That is, for example, by operating the operating section  45  of the user terminal  21   n , it is possible to change the display order of the names of the parts. According to this change, the arrangement of the part images is changed. In another embodiment, the display order of the names of the parts is in a priority order determined based on part preference information from feedback from a user. 
     Further, for example, the user terminal  21   n  may display the names of the respective parts in the descending order of labeled times in the respective parts. This is because the labeling is frequently performed for a part which is generally emphasized in product purchase in the feedback operation of the user. 
     Specifically, for example, as shown in  FIG. 11 , in a case where three labels are added to the part images of the front surface portion, no label is added to the part images of the rear surface portion, and two labels are added to the part images of the chest portion, the importance becomes high in the order of the front surface portion, the chest portion and the rear surface portion. Further, in the descending order of the importance, the respective part images are rearranged. 
     Further, for example, the part images of the front surface portion, the rear surface portion and the chest portion are displayed on the display screen  43   a  in  FIG. 4 , but the parts displayed in the part images are not limited to the front surface portion, the rear surface portion and the chest portion. For example, the part images to be displayed may be changed according to the user change operation. 
     Next,  FIG. 14  illustrates an example in a case where the name on the part axis  62  is added or deleted according to the user operation. 
     In  FIG. 14 , in order to clarify the target to be added or deleted by the user operation, a prime mark (′) is added to the sign. That is, in  FIG. 14 , for example, a case where a chest  62   c ′ on the part axis  62  is added or deleted will be described. 
     On the display screen  43   a  in  FIG. 14 , the front surface  62   a , the rear surface  62   b  and the chest  62   c ′ are displayed on the part axis  62 , and accordingly, the part images  81   1 ,  82   1 ,  83   1 ,  81   2 ,  82   2 ,  83   2 ,  81   3 ′,  82   3 ′,  83   3 ′, and so on are displayed. 
     In a case where the chest  62   c ′ on the part axis  62  is deleted, for example, from this state, the user performs an operation of dragging the chest  62   c ′ and dropping the dragged chest  62   c ′ over a dustbin  181  using the operating section  45 . Thus, the chest  62   c ′ in the part image  62  is deleted, and the part images  81   3 ′,  82   3 ′,  83   3 ′, and so on which display the chest portion are also deleted. 
     Further, for example, in a case where the chest  62   c ′ and the part images  81   3 ′,  82   3 ′,  83   3 ′, and so on are added (restored), the user selects a part (part surrounded by a thick line in the part image  81   1 ) of the chest portion from the part image  81   1 , using the operating section  45 . Thus, the chest  62   c ′ and the part images  81   3 ′,  82   3 ′,  83   3 ′, and so on are added. 
     The user selects the part of the chest portion from the part image  81   1 , but may select a part which the user desires to add from a part image (for example, the part image  81   2 , the part image  82   1 , or the like) different from the part image  81   1 . 
     Further, on the display screen  43   a  in  FIG. 14 , for example, the part image  81   1  is displayed as a selection image used for selecting a part to be added on the part axis  62 , but a new selection image differently from the part image  81   1  may be displayed. 
     As the selection image, one selection image may be employed, or a plurality of selection images which respectively displays the respective parts may be employed to thereby allow the user to select a selection image which displays the part to be added from the plurality of selection images. 
     Further, for example, as the selection image, a three-dimensional image (stereoscopic image) may be employed to select the part to be added from the three-dimensional image. In the three dimensional image, since the product is rotatably disposed in all directions in the three dimensional image according to the user operation, it is possible to add any part of the product which is the search target only using one three-dimensional image without using a plurality of selection images (two-dimensional images) which displays the respective parts. 
     2. Modification 
     In the present embodiment, for example, the purchase screen display as shown in  FIG. 4  and the feedback screen display as shown in  FIG. 5  are displayed as the different display screens  43   a , respectively, but the purchase screen display and the feedback screen display may be displayed as the same display screen  43   a.    
     That is, for example, the display screen  43   a  in  FIG. 4  may be used as the display screen  43   a  to which the fit box, the unfit box, the search button  121  shown in  FIG. 5  are newly added. 
     Further, in the present embodiment, as the purchase screen display, the plurality of part images are displayed on the display screen  43   a , but the plurality of product images which respectively display the respective products may be displayed according to the target fit, instead of the plurality of part images. 
     That is, in a case where at least the feedback operation is performed, the plurality of part images may be displayed on the display screen  43   a , and in a case where the feedback operation is not performed, the plurality of part images may not be displayed. 
     Further, in the present embodiment, the user terminal  21   n  generates the part preference information on the basis of the explicit feedback operation of checking the fit box or the unfit box shown in  FIG. 5 , but may generate the part preference information on the basis of an implicit feedback operation. 
     That is, for example, in a case where the user performs an operation of enlarging the part image  81   1  to be displayed, it is considered that the implicit feedback operation that a fit label is added to the part in the part image  81   1  is performed, and thus, it is possible to generate the part preference information. 
     Further, in the present embodiment, the shop server  23   m  performs the search and the user terminal  21   n  displays the search result obtained by the search on the display screen  43   a , but each configuration of the shop server  23   m  and the user terminal  21   n  is not limited thereto. 
     That is, for example, the user terminal  21   n  itself may perform the search and may display the search result obtained by the search on the display screen  43   a . Further, the shop server  23   m  may supply the part image to be displayed on the display screen  43   a  according to the demand from the user terminal  21   n . 
     Specifically, for example, the display control section  42  of the user terminal  21   n  serves as functional blocks (for example, the initial screen generating section  142 , . . . , the GUI updating section  146 , and the like) for calculating the target fit. In this case, the display control section  42  calculates the target fit, and performs the search on the basis of the calculated target fit. Further, the display control section  42  generates GUI information for displaying the search result obtained by the search, and controls the display section  43  on the basis of the generated GUI information. 
     In the present embodiment, the clothes are employed as the search target, but the search target is not limited thereto. That is, as the search target, anything can be employed as long as it includes a plurality of elements. 
     Specifically, for example, it is possible to employ shoes as the search target. In this case, as respective parts of the search target, for example, a front surface portion, a side surface portion, a bottom portion and the like of the shoes are employed. 
     Further, for example, a building may be employed as the search target. In this case, for example, an appearance, an entrance, a lounge and the like of the building may be employed as respective parts of the building. 
     Further, for example, as the search target, a set including a plurality of related products may be employed. In this case, the plurality of related products become the respective parts of the search target. 
     That is, for example, as the search target, a dining set including a fork, a spoon and a plate may be employed. In this case, for example, as part images which display the respective parts of the dining set, a first part image which displays the fork, a second part image which displays the spoon and a third part image which displays the plate may be employed. 
     Further, for example, a plurality of sub part images which respectively display the respective parts of the fork may be employed, instead of the first part image. This may be similarly applied to the second part image and the third part image. 
     Further, for example, as the search target, instead of the dining set, a television set including a remote controller and a television receiver, a living room set including a sofa, a chair and a table, a suit set including a suit, a dress shirt, a necktie, and shoes, or the like may be used. 
     Further, for example, as the search target, a still image may be employed. In this case, for example, the respective areas on the still image may be employed as respective parts of the still image. 
     Further, for example, as the search target, a moving image including a plurality of images may be employed. In this case, for example, a beginning scene, a mid scene, a final scene and the like in the moving image may be employed as respective parts of the moving image. Further, as the part images, images (for example, images optimally indicating content of the scene, from the respective images which forms the scene) which respectively represent the beginning scene, the mid scene and the final scene may be employed. 
     Further, for example, as the search target, music or the like may be employed. In this case, for example, part images which respectively display a part of lyrics of the music as characters are displayed on the display screen  43   a.    
     Further, a reproduction button or the like for reproducing the part of the lyrics displayed in the part image as sound around the part image may be installed on the display screen  43   a . Furthermore, a reproduction button or the like for reproducing, as sound, each part of the corresponding lyrics as the part image may be disposed on the display screen  43   a.    
     Further, for example, in a case where the music is formed of a plurality of sounds obtained by playing the guitar, drum and base, respectively, a reproduction button or the like for respectively reproducing the guitar sound, the drum sound and the base sound may be displayed as the part image. 
     In a case where the music is employed as the search target, a classifier may be generated on the basis of a sound feature amount extracted from sound (for example, guitar sound or the like) corresponding to the labeled part image. 
     Further, a music video (promotion video) or the like which includes music and a moving image may be employed as the search target. In this case, at least one of the part image displayed when the music is employed or the part image displayed when the moving image is employed is displayed on the display screen  43   a.    
     However, the series of processes as described above may be performed by hardware, or may be performed by software. In a case where the series of processes is performed by software, a program which forms the software is installed, from a program recording medium, in a computer mounted in dedicated hardware, a general-purpose computer or the like which is installed with a variety of programs to be able to perform a variety of functions, for example. 
     [Configuration Example of Computer] 
       FIG. 15  is a block diagram illustrating a configuration example of hardware of a computer which executes the above-described series of processes by programs. 
     A CPU (Central Processing Unit)  201  executes a variety of processes according to programs stored in a ROM (Read Only Memory)  202  or a storing section  208 . Programs, data, or the like to be executed by the CPU  201  are appropriately stored in a RAM (Random Access Memory)  203 . The CPU  201 , the ROM  202  and the RAM  203  are connected to each other by a bus  204 . 
     An input and output interface  205  is connected to the CPU  201  through the bus  204 . An input section  206  including a keyboard, a mouse, a microphone or the like, and an output section  207  including a display, a speaker or the like are connected to the input and output interface  205 . The CPU  201  performs a variety of processes according to commands input from the input section  206 . Further, the CPU  201  outputs the process result to the output section  207 . 
     The storing section  208  which is connected to the input and output interface  205  includes a hard disk, for example, and stores programs to be executed by the CPU  201  or a variety of data. A communicating section  209  performs communication with external apparatuses through a network such as the Internet or a local area network. 
     Further, programs may be obtained through the communication section  209 , and may be stored in the storing section  208 . 
     When a removable media  211  such as a magnetic disk, an optical disc, a magneto-optical disc, a semiconductor memory or the like is installed, a drive  210  connected to the input and output interface  205  drives the removable media  211 , and obtains programs, data or the like recorded thereon. The obtained programs or data are transmitted to and stored in the storing section  208  as necessary. 
     The recording medium which records (stores) the programs which are installed in the computer and can be executed by the computer includes the removable media  211  which is a package media including a magnetic disk (including a flexible disc), an optical disc (CD-ROM (Compact Disc-Read Only Memory), DVD (Digital Versatile Disc)), a magneto-optical disc (MD (Mini-Disc)), a semiconductor memory or the like, the ROM  202  in which the programs are temporarily or permanently stored, a hard disk which forms the storing section  208 , or the like, as shown in  FIG. 15 . Recording of the programs to the recording medium is performed by a wired or wireless communication medium called a local area network, the Internet, digital satellite broadcasting, through the communication section  209  which is an interface such as a router, a modem or the like, as necessary. 
     In this description, the steps corresponding to the series of processes as described above may be performed in a time series manner, or may be performed in parallel or individually. 
     Further, in this description, the system refers to an entire system including a plurality of devices or apparatuses. 
     Further, the present disclosure is not limited to the above-described embodiments, and may have a variety of modifications without departing from the spirit of the present disclosure.