Patent Abstract:
An electronic content recommendation service is provided which can act as an aid to a user in obtaining electronic content. A user&#39;s browsing of electronic content is monitored. For each unit of electronic content output by the user&#39;s browser, one or more units of electronic content (e.g., web pages) are recommended to the user. The user may then load a recommended unit of electronic content. Recommendation is based upon a system of categorization. A number of units of electronic content are identified as fitting into predefined categories of human interest. During a user&#39;s browsing, the unit of electronic content loaded in the user&#39;s browser is determined to be in at least one of the predefined categories. Recommendations of electronic content to browse are drawn from lists of units of electronic content which were previously placed into the category of the current unit of electronic content.

Full Description:
RELATED APPLICATION INFORMATION 
     This application is related to and claims priority from U.S. Application No. 60/226,341, filed Aug. 18, 2000, entitled “Automated Internet Touring System Tailored To User-Specific Qualities,” which is incorporated herein by reference. 
    
    
     NOTICE OF COPYRIGHTS AND TRADE DRESS 
     A portion of the disclosure of this patent document contains material, which is subject to copyright protection. This patent document may show and/or describe matter, which is or may become trade dress of the owner. The copyright and trade dress owner has no objection to the facsimile reproduction by any one of the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all copyright and trade dress rights whatsoever. 
     BACKGROUND OF THE INVENTION 
     1. Field of the Invention 
     The present invention relates to providing content of interest to a user. The present invention further relates to recommending web pages to a user of the World Wide Web based upon the currently viewed web page. 
     2. Description of Related Art 
     The World Wide Web is a collection of millions of linked web sites, electronic documents and files that are stored on computers throughout the world. The World Wide Web includes Web sites that literally relate to millions of different subjects, which may or may not be of interest to a person who is surfing the web. 
     A user typically employs a browser to access Web sites that are of interest to the user. The user can learn of Web sites of interest by either learning of the site through friends or through the media. Another way to learn of Web sites is to use a search engine to search the Web. The user typically types key words into a search engine Web page. The search engine then returns a list of one or more Web sites that relate to the keywords. This can be confusing for novice users who are unfamiliar with computers and the Web. Moreover, the use of search engines can also be frustrating for experienced users as the search engines may sometimes turn up sites that are unrelated to the keywords. Even worse, the search engines may sometimes inadvertently turn up sites that are of an objectionable nature to a particular user. 
     It would be desirable for a program or an online service to automatically assist a user with browsing to Web sites that are particularly tailored to the user&#39;s interests. This would allow novice user to quickly become accustomed to using the Web in a relatively easy manner. Such a program or service would also provide experienced users with a more fulfilling online experience. 
     Several attempts have been made at providing users with automated browsing assistance. In a system called “Ringo” developed at the MIT Media-Lab in the mid-1990s, personalized recommendations were made to a user based upon similarities between the interest profile of that user and the interest profiles of other users. Ringo was designed for making recommendations of music albums and artists, though it applied to Web browsing. In Ringo, he user profiles were developed by having the user rate content. 
     Other browsing aids, such as the eTour service of eTour, Inc., also depended on the development of user profiles. The quality of profile-based services depends on the extent and accuracy of each user&#39;s profile. Thus, in some services, a considerable number of users, providing considerable amount of ratings, are required before they become useful. Furthermore, profile-based services cannot easily account for changing tastes of the users. Finally, profile-based services face a considerable obstacle in that, before a user can see the benefits of the service, the user must register and provide a profile. Many users prefer to browse anonymously, and studies have shown that users have relatively short attention spans. 
     Prior art content location aids are typically server-based. For example, the eTour service requires the user to register with their server, and the user must visit the eTour site each time a user wishes to activate the service during a session. Other server-based aids have been provided in web sites which allow users to make purchases from an on-line catalog. For example, in some web sites, when a user identifies a particular item in the catalog of interest, then the server, when dynamically creating a web for the user, may identify other products in the catalogue which may be of interest to the user. Such server-based aids are limited, in that they only work with a single on-line catalogue, and require that the user remain in contact with the server. These server-based aids can be slow, both because of the demands placed upon the server, and the need to make repeated data transfers over the telecommunications infrastructure. 
     SUMMARY OF THE INVENTION 
     In accordance with the present invention, an electronic content recommendation service is provided which can act as an aid to a user in obtaining electronic content. The service is provided using software, apparatus and methods in accordance with the invention. The service may be operated without user profiles or user registration. However, the service nonetheless can provide highly useful recommendation for electronic content to browse. 
     In accordance with the invention, a user&#39;s browsing of electronic content is monitored. For each unit of electronic content output by the user&#39;s browser, one or more units of electronic content (e.g., web pages) are recommended to the user. The user may then load a recommended unit of electronic content. 
     Recommendation is based upon a system of categorization. A number of units of electronic content are identified as fitting into predefined categories of human interest. During a user&#39;s browsing, the unit of electronic content loaded in the user&#39;s browser is determined to be in at least one of the predefined categories. Recommendations of electronic content to browse are drawn from lists of units of electronic content which were previously placed into the category of the current unit of electronic content. 
    
    
     
       DESCRIPTION OF THE DRAWINGS 
       Further objects of this invention, together with additional features contributing thereto and advantages accruing therefrom, will be apparent from the following description of an embodiment of the present invention which is shown in the accompanying drawings with like reference numerals indicating corresponding parts throughout and which is to be read in conjunction with the following drawings, wherein: 
         FIG. 1  is a first block diagram of a network data distribution system in accordance with the invention. 
         FIG. 2  is a second block diagram of the network data distribution system in accordance with the present invention. 
         FIG. 3  is a representation of a display of a local device having a client window and a browser window in accordance with the invention. 
         FIG. 4  is a flow chart of a method of recommending web pages to a user in accordance with the invention. 
       These and additional embodiments of the invention may now be better understood by turning to the following detailed description wherein an illustrated embodiment is described. 
     
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
     Throughout this description, the embodiments and examples shown should be considered as exemplars, rather than limitations on the apparatus and methods of the present invention. 
     THE SYSTEM AND APPARATUS OF THE INVENTION 
     With reference to  FIG. 1 , there is shown a block diagram of a network data distribution system compatible with the invention.  FIG. 1  includes a local device  100 , a data access network  120 , a recommendation server  130  and a web server  150 . 
     The local device  100  may be a client computer that is configured to access the web server  150  and the recommendation server  130  via the data access network  120 . The client computer may be, for example, a PC running a Microsoft Windows operating system. The local device  100  includes an output device, such as display  101 , and an input device, such as keyboard  102  and/or pointing device  103  (e.g., mouse, track ball, light pen, or data glove). The local device  100  may also be, for example, an Internet appliance, network computer (NC), or a data-enabled device such as a portable digital assistant (PDA), mobile phone, refrigerator, automobile, etc. The particular type of device of the local device  100  is not considered to be important so long as the local device  100  can provide some measure of individual user interactivity with a source of electronic content via a data access network in a client/server fashion. 
     The data access network  120  provides lower layer network support for the local device  100  to interact with servers in the network data distribution system, including the recommendation server  130  and the web server  150 . The data access network  120  may comprise a common or private bi-directional telecommunications network, a public switched telephone network (PSTN), a cable-based telecommunication network, a LAN, a WAN, a wireless network, any of which are coupled with or overlaid by a TCP/IP network (e.g., the Internet or an intranet). 
     The web server  150  may be of the type known in the art and has the ability to serve web pages to the local device  100 , as requested in the manner known in the art. It should be appreciated that the web server  150  is representative of any source of web pages and electronic content available to the local device  100 . Thus, for example, the web server  150  could be accessible from the Internet, or it could be a part of an intranet, and represents any number of servers. 
     The recommendation server  130  is a computer system, such as a server computer. The recommendation server  130  may be considered to represent a number of physical devices which as a group provide the indicated network services. For example, the recommendation server  130  could include a web server plus a database server. The recommendation server  130  transmits certain data to the local device  100  as described further below. The recommendation server  130  may also act as a recipient of certain information transmitted by the local device  100 , as described further below. 
     Referring now to  FIG. 2 , there is shown a block diagram of another view of the network data distribution system of  FIG. 1 . The system comprises a client  110 , the data access network  120 , the recommendation server  130  a recommendation database  180  and a page categorization database  140 . 
     A browser  160  is also shown. A “browser” is software that provides interactive utilization of units of electronic content, such as web pages. The browser  160  may be Microsoft Internet Explorer or Netscape Navigator. The browser  160  may alternatively be a microbrowser used to browse units of WML or HDML based electronic content on a wireless handset. When the local device  100  is connected to the web server  150  through the data access network  120 , the user of the local device browses the web server  150  from the local device  100  using the browser  160 . The browser  160  need not be stored on the local device  100 . The user, from the local device  100 , can exercise control over what electronic content is requested and thus output to the output device of the local device  100 . 
     The client  110  is software operative on the local device  100 . The client  110  may be an independent application program, a DLL or other logical grouping of routines. The client  110  need not be stored on the local device  100 . The client  110  may be integrated with the browser  160 , an operating system, or other software. 
     The recommendation database  180  and the page categorization database  140  store and provide data regarding categories, web pages and recommendations. The page categorization database  140  supports category look-up for electronic content. The recommendation database  180  supports category-based recommendations. Although described herein as separate entities, the recommendation database  180  and the page categorization database  140  may be combined into a single database with appropriate fields and controls, and may be otherwise distributed. 
     A copy or subset of the recommendation database  180  and the page categorization database  140 , referred to as local cache  170 , may also be stored in the local device  100  to speed the operation of the client  110 . The client  110  and recommendation server  130  may cooperate to update the local cache  170 , and to have the recommendation database  180  and the page categorization database  140  accessed when the local cache  170  is inadequate or unavailable. The decision on what, if anything, to place into the local cache  170  depends on such factors as the capabilities of the client  110 , the recommendation server  130 , the databases  140 ,  180 , and the data access network  120 . Decisions on what and how much to store in the local cache  170  may be influenced by factors such as popularity of an object to a particular user and popularity to all or a group of users. 
     One aspect of the present invention is the use of “categories.” A category has two components. First, there is a label associated with the category which in most embodiments is descriptive of the category. Second, there is a scope for the category. The category scopes may be precisely defined, or may be loosely defined. The scopes may be defined through automated and/or manual techniques. Scopes may be defined using principles of linguistics and cognitive science. The particular labels and scopes, and the method of creating the labels and scopes, is not critical to the invention. Furthermore, the labels and scopes to be used are generally dependant on the embodiment of the invention. 
     In general, the categories should be logically distinct, though some overlap may be inevitable. The categories should be of human interest, which is itself difficult to precisely define. Just as there are numerous techniques for selecting categories, so too there are numerous techniques for categorizing units of electronic content such as web pages, and for selecting which unit of electronic content to recommend for a given category. In the embodiment currently contemplated, formulation of the page categorization database  140  and the recommendation database  180  involves human input. In the embodiment currently contemplated, the page categorization database  140  comprises domain names and URLs which are selected based upon popularity. Objects (e.g., domain names and URLs which resolve to web pages) in the page categorization database  140  are categorized by parsing the HTML of the corresponding web page, distilling the text of the pages, and deriving a sense of the text of each page. The senses may be made using principles of linguistics and cognitive science. The senses are used to select one or more categories into which the web page fits. The list may include ratings of relevance of a given web page to its categories. 
     Referring now to  FIG. 3 , there is shown the display  101  having a client window  350  and a browser window  300 . The client window  200  is generated and controlled by the client  110 . The browser window  300  is generated and controlled by the browser  160 . The browser window  300  is familiar to those skilled in the art, so the particulars are not described further herein. Further information regarding the use of most browsers and their technical specifications is abundantly available. 
     The browser window  300  includes a display pane  310 , an address bar  320  and a title bar  330 . The display pane  310  is a region of the browser window  300  wherein the browser  160  causes web pages received by the browser  160  to be displayed. The address bar  320  is another region of the browser window  300 . The browser  160  displays URLs in the address bar  320  corresponding to the web page currently displayed in the display pane  310 . The user can also enter a URL into the address bar  320 , and the browser  160  will attempt to load the web page or other object to which the entered URL points. The address bar  320  may be hidden. However, there is an object associated with the address bar which, in common practice, stores the URL for the currently displayed web page. The primary feature of the title bar  330  is that it displays the title of the browser  160 . Another feature of most browsers is that the title bar  330  displays the title of the web page then displayed in the display pane  310 . 
     The client window  350  includes a title bar  351  and a number of operational icons  352 ,  353  on the title bar  351 . The title bar  351  may be used for identifying the client  110 . The client window  350  as shown includes a recommendation pane  360 . The recommendation pane  360  includes a prompt  361 , a category display area  362  and an activation button  363 . The client window  350  and the recommendation pane  360  are shown having a conventional rectangular shape. However, the client window  350  and the recommendation pane  360  may define any of a wide variety of regular or irregular shapes. 
     The client window  350  is displayed on top of the browser window  300 . The client window  350  may be configured to attach to an edge of the browser window  300 , and always remain visible and on top of the browser window  300  (persistent). The location of the client window  350  may be predefined, selectable by the user, or selected by a server remotely. In one embodiment, the client window  350  is attached to the title bar  330  of the browser window  300 . In other embodiments, the client window  350 , or parts of the client window  350 , may be integrated into the browser window  300 . For example, the title bar  351  of the client window  350  may be eliminated, and the contents of the recommendation pane  360  fixed in the browser window  300 . 
     The operational icons  352 ,  353  on the title bar  351  include a close icon  352  and a help icon  353 . Activation of the close icon  352  causes client  110  to close the recommendation pane  360 , although the title bar  351  of the client window  350  remains displayed. The help icon  353  may be used for providing help to the user. The category display area  362  is used for displaying the label associated with the category of the web page being displayed in the browser display pane  310 . The prompt  361  is static text which, when combined with the display in the category display area  362 , conveys a message to the user of the availability of a recommendation. The activation button  363  is used by the user to accept the recommendation. 
     Variations of the client window  350 , and corresponding functionality of the client  110  are within the scope of the invention. The category display area  362  may be a drop down list. In such an embodiment, the drop down list could include all of the categories in which the current web page falls, and could list sub-categories. The client window  350  may provide a selectable display of the URLs, page names, or site names of the recommended web pages. 
     THE METHODS OF THE INVENTION 
     Referring now to  FIG. 4 , there is shown a flow chart of a method of recommending electronic content to a user in accordance with the invention. As will be seen, in contrast with prior art systems, this method may be practiced without any particular information about the user, such as a user profile. Because the method is automatic from a user perspective, a user need not register or provide information before gaining its benefits. 
     After the method begins (step  405 ), the client  110  activates on the local device  100 . The client  110  may activate automatically, for example when the browser  160  activates (step  410 ). The process by which the client  110  is installed on the local device  100  is not significant. The client  110  may be provided to users for free or for a fee. The recommendation service of the invention may be provided for free or for a fee. Fees may be assessed through well known payment systems, including through artificial media of exchange such as RocketCash. 
     Once activated, the client  110  can monitor the browser  160  (step  415 ). One reason that the client  110  monitors the browser is to know when the user has browsed to a new web page. By monitoring the browser&#39;s address bar object, when the browser  160  requests a web page, the client  110  can recognizes that the address bar object has changed. This is only one of many techniques for the client  110  to learn that the current web page has changed. 
     If there is a new web page in the browser  160 , then the category of the newly current web page is determined (step  420 ). The address bar object stores the URL of the current web page. By copying the contents of the address bar object, the client  110  can use the URL of the current web page as a basis for determining the category of the current web page. 
     As explained above, the recommendation server  130  has access to the page categorization database  140 , which can be copied to the local device  100  and accessed directly by the client  110 . Depending on the location and distribution of the page categorization database (stored in the local cache  170  or the full copy  140 ), the URL from the address bar object may be used to obtain the corresponding category from the categorization database. This may also depend on whether the categorization database  140  stores complete URLs, portions such as domain names, keywords, etc. 
     Categorization of the current web page may be done “on the fly.” For example, the same techniques discussed above for batch categorization to create the page categorization database  140  may be used on an as-needed basis during browsing. A look-up table may be useful in any event to correlate between categories and characteristics of web pages. 
     Although the category determination can be made by initially copying the URL from the address bar object, other techniques can be used to determine the category of the current web page. For example, techniques such as screen-scraping, data-stream sniffing, and copying other objects used by the browser are available to obtain information about the current web page. This information may be used as described above for categorization. 
     Once the category of the current web page is known, the client  110  can select a web page to recommend (step  425 ). There may be only one web page recommended, or a number of web pages may be selected to recommend. The recommendation is automatic (i.e., active), and does not require the user to do anything to obtain the recommendations. Furthermore, recommendations may be made without reference to user profiles of any kind. 
     To make a recommendation, the client  110  consults the recommendation data in the local cache  170 , in the recommendation database  180 , or may cooperate with the recommendation server  130  to access the recommendation database  180 . In the embodiment currently contemplated, web pages to recommend for each category are selected in advance. This includes some measure of human involvement to refine the recommendations. When needed by the client  110 , recommendations may be made in a way that minimizes the chance that a commendation is made twice. Recommendations may also be made on a preferential basis, and may be made on exchange of consideration (e.g., paid placement). Recommendations can also be made on numerous other factors, including popularity, fit in a category, and relationships. 
     Furthermore, recommendations can be made by synthesizing characteristics from a user&#39;s historical web browsing. Since the client  110  monitors web browsing, a history of web pages browsed may be maintained and utilized to enhance the recommendations. For example, it may be desirable to not recommend pages which the user has already browsed, which the user has browsed them within a certain period of time, or which are similar to pages the user has browsed or recently browsed. 
     It is believed that, for the client  110  to be effective, its use should instill trust in the user. This theory is drawn from the experience of prior art search engines. Thus, although short-term revenues may be enhanced by accepting paid placements which are not particularly relevant to a category, this may ultimately reduce usage of the client  110  because of reduced user trust. 
     After the client  110  has obtained one or more recommendations for the current web page (step  425 ), the client  110  generates a message on the output device  101  which informs the user of the availability of a recommendation (step  430 ). This may be achieved by displaying the category of the current web page in the category display area  362  ( FIG. 3 ), and displaying the activation icon  363 . The display of the category in the category display area  362  may occur after the category of the current web page has been determined in step  420 , after the recommendation(s) are available in step  425 . 
     The user then may provide input to the client  110  indicative of the user&#39;s desire to activate the recommendation (step  440 ). If there is more than one recommendation, the activation icon  363  may be used to select the first recommended web page. The user may be provided with the opportunity to select from a list of recommended web pages, for example with a drop down list. If the user chooses not to accept the recommendation, then browsing continues (step  445 ), and the client  110  continues to monitor the browser (step  415 ). 
     As an alternative to step  440  following step  425 , they may be reversed. That is, the user may provide input to the client  110  indicative of the user&#39;s desire to activate a recommendation, and then the recommendation may be obtained. 
     If the user accepts a recommendation, then the client  110  causes the browser  160  to request the recommended web page (step  450 ). If the user could select from more than one recommendation, then the client  110  causes the browser  160  to request the recommended web page which the user selected. The web browser then requests and loads the recommended web page. The recommended web page may be displayed in the same browser window  300  as the current web page, or may be displayed in a new or other window. 
     After the user has selected a first recommended web page (step  440 ), the user may continue to accept recommendations from the same category (step  455 ). This step  455  may be performed in a number of ways. As mentioned, in step  425  several web pages may be selected for recommendation. In such a case, the client  110  maintains a list of recommendations and the user may select a next recommendation by activating the activation icon  363 . The activation icon  363  may change appearance to reflect that more recommendations are available. As an alternative to selecting multiple web pages to recommend in step  425 , after a recommended web page has been loaded, it can be treated as the current web page, with control returning to step  415 . By providing successive recommendations, the user may be provided with an electronic tour of web pages which are likely to be of interest. 
     In the currently contemplated embodiment, the client  110  continues operating so long as the browser  160  is active. Thus, the client window  350  is never completely closed. Since the client window  350  may be embodied in other forms, or eliminated as described above, manners of hiding operative features of the client  110  or closing the client  110  are within the scope of the invention. 
     The client  110  may provide additional avenues for making recommendations of web pages to the user. The user may be prompted to enter or select one or more key words, categories or linguistic senses, provided as a whole or limited by relevant criteria as discussed above. Recommendations may then be made from the user input alone or in conjunction with analysis of the current web page. 
     Although exemplary embodiments of the present invention have been shown and described, it will be apparent to those having ordinary skill in the art that a number of changes, modifications, or alterations to the invention as described herein may be made, none of which depart from the spirit of the present invention. All such changes, modifications and alterations should therefore be seen as within the scope of the present invention.

Technology Classification (CPC): 6