Patent Publication Number: US-11042693-B2

Title: Method and system for identifying and delivering enriched content

Description:
CROSS-REFERENCE TO RELATED APPLICATION 
     The present application is a continuation of U.S. patent application Ser. No. 14/364,168, filed Jun. 10, 2014, which is a national stage application, filed under 35 U.S.C. § 371, of International Application No. PCT/CN2013/000702 filed Jun. 14, 2013, all of which are incorporated herein by reference in their entireties. 
    
    
     BACKGROUND 
     1. Technical Field 
     The present teaching relates to methods, systems and programming for Internet Service. More particularly, the present teaching relates to methods, systems, and programming for identifying and delivering content. 
     2. Discussion of Technical Background 
     With the quickly-growing adoption of smart phones and mobile tablet computers among consumers of the Internet, more and more consumers are accessing content on such mobile devices. Generally speaking, mobile devices, when compared to, for example, a desktop computer, tend to be more limited in certain aspects such as bandwidth and display size. Consequently, certain content, such as a web page intended to be viewed on a desktop computer, is not easily viewable or navigable on a mobile platform. To address this problem, many content providers have developed, for example, “mobile-specific” web sites which present the requested content in a way that is smaller in size and more easily readable and navigable by a user. The user seeking this content still uses the same URL but the site detects the platform and redirects to a platform-specific page. More recently, as more and more users are accessing content on mobile platforms, there are more and more content providers that are choosing to develop and maintain “mobile-specific” sites exclusively. However, when such mobile-specific content pages are viewed on a platform such as a desktop computer, the minimalist design for a mobile device does not provide a user with an experience that has come to be expected when accessing a content page on, for example, a desktop computer. In addition, with the larger browser display sizes that are typically associated with other devices such as desktop computers, there is an opportunity to include additional content that a user might find helpful when viewing the requested content page. 
     Hence, existing solutions to displaying mobile-specific content pages, do not address the issue of providing the same content to a user of a desktop computer in a way that is generally expected by users when accessing content pages. Therefore, there is a need to develop techniques to enrich mobile-specific content pages for display on a larger platform in order to provide the user with additional content and an experience that is superior to that which is available on a mobile-specific page. 
     SUMMARY 
     The present teaching relates to methods, systems and programming for Internet Service. More particularly, the present teaching relates to methods, systems, and programming for identifying and delivering content. 
     In one example, a method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network for providing content, is disclosed. A request for content is first received from a user, via the communication platform. One or more parameters are obtained which are associated with the platform on which the requested content is to be presented. When the requested page is retrieved, it is determined whether the page was created with respect to a second platform that is more restrictive than the first platform. If so, additional content is generated, the selection of which is based on the parameters associated with the platform on which the requested content is to be presented as well as the content of the requested content page. The additional content is integrated with the requested content page and then transmitted to the user as a response to the request. 
     In another example, a method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network for presenting content to a user, is disclosed. A request for content is initiated by a user and transmitted by the platform for which the requested content is to be presented. Parameters associated with the platform are also transmitted. When the requested page is retrieved, it is determined whether the requested content page is created for a platform that is more or less restrictive than the requesting platform. If the requested page is configured to be presented on a platform that is more restrictive than the requesting platform, additional content is retrieved. This additional content is selected based on its relationship to the requested content as well as parameters such as the profile of the requesting user. The additional content is integrated with the requested content to create an enriched content page which is presented to the user. 
     In yet another example, a method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network for identifying and integrating additional content with requested content, is disclosed. A request for content is first received from a user. This request contains user account information, requested content information, and the requesting platform information. The requested content page is received and determined whether the requested content page was created for a platform that is more restrictive than the requesting platform. When it is determined that the requesting platform is less restrictive, additional content is identified and integrated with the requested content page to generate an enriched content page, which is transmitted to the requesting user. 
     In a further example, a method, implemented on a machine having at least one processor, storage, and a communication platform connected to a network for providing content, is disclosed. A request for content is first received from a user, via the communication platform. One or more parameters are obtained which are associated with the platform on which the requested content is to be presented. When the requested page is retrieved, it is parsed into a number of components such as text, images, and links. Additional content is retrieved, the selection of which is based on the parameters associated with the platform on which the requested content is to be presented as well as the content of the requested content page. The additional content is integrated with at least some of the components of the requested content page and then transmitted to the user as a response to the request. 
     In a different example, a system having at least one processor, storage, and a communication platform connected to a network for providing an enriched content page is disclosed. The system includes a request handling unit, a parameter handling unit, a content retrieving unit, a platform assessment unit, an enriched content generator, and a content pager generator. The request handling unit is configured for receiving and transmitting a request for content from a user. The parameter handing unit is configured for obtaining and transmitting one or more parameters associated with a first platform on which the requested content is to be presented. The content retrieving unit is configured for obtaining a page of the requested content. The platform assessment unit configured for determining whether the page is created with respect to a second platform that is more restrictive than the first platform. The enriched content generator is configured for generating, when the page is created with respect to the second platform, additional content determined based on the one or more parameters and/or the content page. The content page generator is configured for integrating the additional content with the content page to generate an enriched content page for the first platform and transmitting the enriched content page to the user as a response to the request. 
     Other concepts relate to software for implementing the generation of content. A software product, in accord with this concept, includes at least one machine-readable non-transitory medium and information carried by the medium. The information carried by the medium may be executable program code data regarding parameters in association with a request or operational parameters, such as information related to a user, a request, or a social group, etc. 
     In one example, a machine readable and non-transitory medium having information recorded thereon for providing content, where when the information is read by the machine, causes the machine to perform a series of steps. A request for content is first received from a user, via the communication platform. One or more parameters are obtained which are associated with the platform on which the requested content is to be presented. When the requested page is retrieved, it is determined whether the page was created with respect to a second platform that is more restrictive than the first platform. If so, additional content is generated, the selection of which is based on the parameters associated with the platform on which the requested content is to be presented as well as the content of the requested content page. The additional content is integrated with the requested content page and then transmitted to the user as a response to the request. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The methods, systems and/or programming described herein are further described in terms of exemplary embodiments. These exemplary embodiments are described in detail with reference to the drawings. These embodiments are non-limiting exemplary embodiments, in which like reference numerals represent similar structures throughout the several views of the drawings, and wherein: 
         FIGS. 1( a )-1( b )  illustrate examples of content displayed in various user platforms in accordance with the present teaching; 
         FIG. 2  is a high level depiction of an exemplary system in which additional content information is retrieved and integrated with requested content information, according to an embodiment of the present teaching; 
         FIG. 3  is a flowchart of an exemplary process in which a content enrichment server is operated to provide enriched content, according to an embodiment of the present teaching; 
         FIG. 4  depicts an enriched content generator with inputs and outputs, according to an embodiment of the present teaching; 
         FIG. 5  depicts a parsing engine with an input and outputs, according to an embodiment of the present teaching; 
         FIG. 6  is a flowchart of an exemplary process in which a content enrichment server operates tasks in parallel to provide enriched content, according to an embodiment of the present teaching; 
         FIG. 7  is a flowchart of an exemplary process in which a client requesting content receives enriched content, according to an embodiment of the present teaching; 
         FIG. 8  is a functional block diagram of a system embodiment of the present teaching; 
         FIG. 9  depicts a general computer architecture on which the present teaching can be implemented; and 
         FIG. 10  depicts a general mobile device architecture on which the present teaching can be implemented. 
     
    
    
     DETAILED DESCRIPTION 
     In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant teachings. However, it should be apparent to those skilled in the art that the present teachings may be practiced without such details. In other instances, well known methods, procedures, components, and/or circuitry have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the present teachings. 
     The present teaching relates to providing enriched content in response to a request for content, which can be any form of content such as a news article, movie review, blog entry, word processing document, or any other textual material accessible through a medium such as the Internet or a private network. However, based on certain aspects relating to the content, the user requesting the content, and the platform upon which the content is to be presented, certain additional content may be retrieved and integrated with the requested content to create an enriched content viewing experience for the requesting user. As discussed in more detail below, the additional content may be from any number of sources and is selected based on its relatedness to a number of factors to be most relevant to the user when viewing the requested content. 
     Additional novel features will be set forth in part in the description which follows, and in part will become apparent to those skilled in the art upon examination of the following and the accompanying drawings or may be learned by production or operation of the examples. The novel features of the present teachings may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations set forth in the detailed examples discussed below. 
     In  FIG. 1( a ) , a typical presentation of content  101 - 1  intended for certain platforms such as a mobile platform may generally be of a minimal format. When viewed on such a platform, only the minimal amounts of content are typically displayed. For example, as shown in  FIG. 1( a ) , an article  101 - 1  is presented on the display of platform  100 - 1  which may be a mobile device. This article contains a heading  111   a , body text  112 - 1 , and links  113   a  to photos relating to the article. As shown in  FIG. 1( a ) , typically only text is displayed and the formatting of the heading  111 - 1  and body text  112 - 1  of the requested content is made to best fit on a small screen of a mobile platform. Moreover, photos or other media such as videos that might be relevant to the requested content are typically included as text-based links  113 - 1  and may not be resolved into images when the page is first loaded, but only after the user selects such link. 
     Such a minimalist view is often ideal for users of mobile platforms simply because there is not enough space on the display of a hand-held device to show much more than text. The convenience of accessing such mobile-specific content tends to come at the cost of the viewing experience to the user. 
     In  FIG. 1( b ) , a presentation of content  110   b  is shown on a platform  101 - 2  in accordance with an embodiment of the present teaching. Platform  101 - 2  may be a graphic display of a larger size than a mobile device platform for which the requested content was intended. Such a platform  101 - 2  could be, for example, a monitor connected to a desktop computer, a home entertainment center, or even a tablet computer. In any of these examples, the display platform may be less-restrictive than the mobile platform for which the requested content was intended. As shown in  FIG. 1( b )  the requested content  110 - 2  is presented in the center region of the graphic display  101 - 2 , with a heading  111 - 2 , text  112 - 2 , and photos  113 - 2 . Although similar to the requested content on mobile platform in  FIG. 1( a ) , the requested content in  FIG. 1( b )  may take advantage of, for example, the larger display size, faster processing speed, and greater bandwidth and may be enriched in terms of the font sizes of the heading  111 - 2  and article body  112 - 2  and the photographs  113 - 2  may be downloaded, rendered, and embedded into the article body  112 - 2 . 
     In addition to the requested content presented  110 - 2 , additional content is presented to the user of platform  101 - 2 . For example, a region  102 - 2  located at the top of the content page may be used to present information to the user that is, for example, related to the user account. For example, the user may be accessing the requested content through the user&#39;s Yahoo! home page and the top portion of the display  102 - 2  may be the Yahoo! banner information, which provides to the user access to content through, for example, a search engine command line. In addition, region  121 - 2  located to the left of the requested content may, for example, present to the user access to content relating the user&#39;s personal accounts. For example, if a user links her accounts to an enriched content provider, region  121 - 2  may display links to and/or portions of the user&#39;s personal content such as email, documents, twitter, and content from other social media accounts that relate to the requested content. Further, to the right of the requested content  110 - 2 , the region(s)  131 - 2 ,  132 - 2 , and  133 - 2  may contain places where additional content is presented that is related to the requested content  110 - 2 . One exemplary configuration is where in the top region  131 - 2 , there are headings and links to content that is determined to be related to the requested content  110 - 2  such as, for example, news articles that are covering the same topic as the requested content. Also in this exemplary configuration, in region  132 - 2 , there may be headings and links to comments made on one or more social media sites relating to the topic of the requested content. Finally, in the region  133 - 2  there may be one or more targeted advertisements that have some relevance to the requested content. 
     In addition, the additional content is specific to the user at that particular instant. As discussed further below, the identification of the additional content may be based on the content that the user initially requested, the user&#39;s location and other demographic information, the user&#39;s other accounts and social media connections, the user&#39;s selected preferences, and the user&#39;s interests based on past activities. Additional content associated with any and all of these items may be presented to the user as a part of an enriched content display and provide to the user quickly-accessible links to other related content. 
     Of course,  FIG. 1( b )  is exemplary only and there is no specific arrangement or size of the regions presenting the requested content or the additional content. In one embodiment, the user is given the ability to select the quantity, locations, content types, and sizes of the regions that are presented. As shown in  FIG. 1( b )  a user may be able to select and modify the parameters of each region to create a customized portal page. In an alternative embodiment, the service through which the user is requesting the content may determine how and where at least some the additional content is displayed with the requested content. For example, the content provider may choose to have certain regions designated to displaying one or more advertisements. 
       FIG. 2  is a high level depiction of an exemplary system  200  in which an enriched content generator  260  is deployed to provide additional content, according to a first application embodiment of the present teaching. The exemplary system  200  includes users  210 , a network  220 , a search engine  230 , content sources  240 , user database  250 , an ad server  260 , an ad database  270 , a content parser  280 , and a base station  290 . The network  220  in system  200  can be a single network or a combination of different networks. For example, a network can be a local area network (LAN), a wide area network (WAN), a public network, a private network, a proprietary network, a Public Telephone Switched Network (PSTN), the Internet, a wireless network, a virtual network, or any combination thereof. A network may also include various network access points, e.g., wired or wireless access points such as one or more base stations  290  or Internet exchange points through which a data source may connect to the network in order to transmit information via the network. 
     Users  210  may be of different types such as users connected to the network via desktop connections ( 210 - 4 ), users connecting to the network via wireless connections such as through a laptop ( 210 - 3 ), a handheld device ( 210 - 1 ), a wearable device such as glasses, goggles, or a helmet (not shown), or a built-in device in a motor vehicle ( 210 - 2 ). From a device  210 , a user may send a request for content via the network  220  and receive the requested content through the network  220 . 
     The target of the user&#39;s content query can vary. In one exemplary embodiment, the user sends a content query via network  220  to search engine  230 . In one embodiment, the user accesses the search engine  230  by an interface such as a webpage presented on the user device  210  and connected to network  220 . The search engine  230  may access content sources  240 , among other sources, through the network  220  to locate and return a search result in response to the user&#39;s content query. The search engine may also access the enriched content generator  260  directly or through network  220  to provide additional content for presentation to the user in certain circumstances such as when the requested content is of a more restrictive, minimal format, e.g., a mobile-specific format, and the user device  210  has, e.g., a larger display. The enriched content generator  260  may in turn seek additional content by searching for it through search engine  230 , requesting it through ad server  260 , or accessing it in user database  250  or contend sources  240 . In another exemplary embodiment, the user sends the content query directly to the enriched content generator  260  via network  220 . Similarly, the user may access the enriched content generator  260  directly by a user interface such as a web page presented on the user device  210 . In such an embodiment, the user&#39;s content request to the content generator  260  may initiate one or more search queries with search engine  230  to locate the requested content as well as any additional content to integrate with the requested content to create an enriched content page to present to the user. 
     In either of the above-mentioned embodiments, content parser  280  may also be used as a part of a response for a request for content to parse content into content components for purposes of locating additional content, and/or integrating additional content with the requested content. Of course, depending on the system architecture, the content parser  280  may exist as a subcomponent of either or both the search engine  230  and enriched content generator  260  or be accessible over the network  220 , as depicted in  FIG. 2 . 
     The content sources  240  include multiple content sources  240 - 1 ,  240 - 2 , . . . . A content source may correspond to a web page host corresponding to an entity, whether an individual, a business, or an organization such as USPTO.gov, a content provider such as cnn.com and Yahoo.com, or a content feed source such as Twitter or blogs. Both the search engine  230  and the content generator  260  may access information from any of the content sources  240 - 1 ,  240 - 2 , and rely on such information to respond to a query (e.g., the search engine  230  identifies content related to keywords in the query and returns the result to a user) or provide additional content relating to the requested content. The enriched content generator  260  may also access additional information, via the network  220 , stored in the user database  250 , which may contain, e.g., information about a user&#39;s preferences as well as content provided by ad server  260 . 
     The information in the user database  250  may be generated by one or more different applications (not shown), which may be running on the search engine  230 , at the backend of the search engine  230 , or as a completely stand-alone system capable of connecting to the network  220 , accessing information from different sources, analyzing the information, generating structured information, and storing such generated information in the user database  250 . Such information can be state information such as cookies, or structured information, giving weight to certain categories of content that the user or other similar users tend to find of interest. One example of this is the generation of a user&#39;s preferences based on the user&#39;s past activities. When a user is presented with requested content and the additional content, observations of the user&#39;s course of actions with respect to the additional content may be used to better-tailor selections and presentation of subsequent additional content. This feedback enables the system, for example, to learn the interests of the user. 
     The user database  250  may contain information relating to a population of users. The enhanced content generator, for example, or a separate engine or agent (not shown), may access this information to find similarities among users in order to locate content in response to a request for content. For example, when User A seeks information relating to, say, movies playing in local theatres and subsequently access content relating to reviews on movies currently in theatres, then when User B access content relating to movies playing in local theatres the enriched content generator or other object would attribute some weight to content relating to movie reviews when ranking the additional content presented to User B. Moreover, when 100 users request content relating to, for example, local movies playing and 90 of the 100 subsequently access content relating to the latest James Bond movie, then enriched content generator or other object would attribute weight to content relating to the latest James Bond movie when ranking the additional content presented to a user requesting content relating to local movies plating. In addition, each request for content that a user executes may be compared to other users to create loose groups or clusters of similar users and the enriched content generator may take into account the interests of other users in a group or cluster when determining what items to include as additional content and how to rank such content. 
       FIG. 3  is a flowchart of an exemplary process in which a content enrichment server operates to provide enriched content, according to an embodiment of the present teaching. In this embodiment, a request for content is received in step  310 . This request may be directed to and/or serviced by a search engine, an enriched content generator, or even a separate server specifically configured to handle such requests. In any case, such a device may operate an interface with which a user may interact including entering a request for content. The request may be a general request for content such as the latest new headlines on CNN.com or a specific request for content such as a specific news article or a particular URL. In response to the request for content step  310 , the device parameters are obtained in step  320 . Such device parameters may include the display settings, the browser window size, and the availability of certain browser plug-ins. A page of the requested content is obtained in step  330 . To obtain the requested content page, the content enrichment server locates the content by its own mechanisms or by employing a search engine, the selection of which may depend upon whether the requested content is locally accessible or whether the content is available remotely through the internet. When the page is obtained, step  340  determines whether the page was created for a specific platform. In order to make this determination, additional sub-steps may include scanning and/or rendering the requested content page for any indicators that it is, for example, mobile specific. If it is determined that the requested content is not created for the requesting device platform (e.g., a desktop computer requesting content that was created specifically for a mobile platform), then, in step  350 , additional content is identified. The identification of additional content, as described in more detail in the description of  FIG. 4 , may depend on any number of factors, including but not limited to the subject matter of the requested content or the user&#39;s preferences, as may be determined by the user&#39;s affirmative selections, search history, social medial connections, or preferences of other users that are deemed related to the user in one or more ways (social media connection (e.g., a follower on Twitter), a contact, or just another user that has similar interests). From any of these sources, additional content may be identified and categorized in one or more categories (e.g., news article, advertisement, tweet, etc.). 
     In step  350  the identified content is also ranked in an order that is most relevant to the user. However, in the case of advertisements or other revenue-generating content, the ranking may be weighted on the basis of revenue, i.e., the income generated when the user clicks on the advertisement or other content. The amount of additional content identified bay be determined by the additional space available on the browser or display of the requesting user&#39;s device. For example, if the requested content would take up only 50% of the useable space and each additional content is allocated 10% of the space, then five items of additional content may be identified. Next, in step  360 , the additional content is integrated with the requested content page. This integration may be performed in a number of ways, such as by including links to the additional content in a separate area along side of the requested content. Another format may be that the additional content is embedded within the requested content, such as making certain words in the requested content into hyperlinks to the additional content or, for example, placing small advertisements in line with the text of the requested content and predetermined intervals (such as every ten lines of text). The end result is that an enriched page is generated containing the requested content and additional content. Finally, in step  370 , the page is transmitted to the user in response to the request. Step  370  is also the action that is taken when it is determined, in step  340 , that the requested content is created for the device platform requesting the content. Alternatively, or in addition, at step  340 , the requested content page may be parsed into its components whether or not it was intended for the platform of the requesting user. This enables the process to retain the relevant portions of the request for content and continue through the process of obtaining additional content. 
       FIG. 4  depicts the inputs and outputs of an enriched content generator  400 , according to an embodiment of the present teaching. When it is determined that additional content is to be presented, the enriched content generator receives information relating to the requested content (such as the request for content or parsed data from the requested content), the data from a user (such as user account information like subscriptions and memberships), and platform information (such as browser size). In analyzing the input content/information, the content generator  400  draws from media sources available from the Internet  401 , social medial sites  402 , user account data  403  associated with the requesting user as well as other users, and advertisement databases to identify related material to the requested content and the user&#39;s preferences and supply the related material as an output. 
     To illustrate this process, take the example of a user request for content relating to skiing in Aspen, Colo. When the system receives such a request for content, it may follow the process outlined in  FIG. 3 . When it is determined that additional content may be presented, the enriched content generator  400  may review all or part of (parsed) the requested content and the user data to determine where to retrieve the additional content. Based on this information, the enriched content generator may identify related articles on the Internet  401  that are related to the requested content such as ski resorts in Aspen (e.g., web pages to ski resorts, weather reports, etc.). However, because the enriched content generator may also access social media content relating to the user  402 , the enriched content generator may be able to identify (and attribute a higher ranking weight to) ski resorts in Aspen that were also visited by social connections of the user. For example, perhaps a social connection of the user visited Aspen last season and “checked in” to Snowmass Ski Resort and posted photographs of the trip. Each of these related social media items may potentially be used as additional content to present to the user. Other related content might be identified by reviewing other user accounts  403  who also searched for skiing in Aspen, Colo. Moreover, a related advertisement may be generated from ad database  404  for inclusion as additional content having some relationship to the user&#39;s social media connections (e.g., the particular hotel that the user&#39;s social media connection stayed at when visiting Aspen, or the type of powder skis the connection purchased last season). Finally, the additional content may be the user&#39;s personal information, such as information relating to the user&#39;s itinerary for her upcoming ski trip to Aspen. 
       FIG. 5  depicts the input and outputs of the parsing engine  500 , according to an embodiment of the present teaching. When requested to parse a requested page, the parsing engine takes the content of the identified page and separates each component of the content into a separate item. As mentioned before, parsing engine may be a separate agent or may be an integrated function of a search engine or enriched content generator. As shown in  FIG. 5 , the parsing engine retrieves or receives a requested page and outputs the various components of the requested page, such as the text, images, links, and even ads. The parsing engine may serve to parse content for at least two purposes: 1) to parse the requested content into components for identifying related content, and 2) to parse content into components for integrating and presenting enriched content to the user. 
       FIG. 6  is a flowchart of an exemplary process in which a content enrichment server may operate tasks in parallel to provide enriched content, according to an embodiment of the present teaching. In this process, a request for content may be received from the user, at  600 . The system may, in parallel, obtain platform parameters, at  601 , retrieve requested content, at  611 , and determine the user&#39;s momentary interests, at  621 . The system may parse the requested content into its components, at  612 . The parsing may provide information relating to whether the requested content was intended for a particular platform, such as, e.g., a mobile platform. The obtained platform parameters and requested content information may be compared and it may determine whether additional content is to be requested, in step  613 . If so, the process may identify additional content, at  614 . Additional content relating to the user&#39;s interests may also be obtained, at  622 . When the system has obtained the platform parameters, additional content relating to the requested content, and additional content relating to the user&#39;s momentary interests, the layout of the content may be determined, at  630 . The layout determination may take into account the platform parameters (i.e., the available area to present content) and the relevance of each additional content with respect to factors of relevance discussed previously. The enriched content may then be generated, at  631 , and transmitted to the user, at  632 . In addition, the system may learn of the user&#39;s preferences and customize its subsequent enriched content by following the user&#39;s subsequent navigation information, at  633 . This navigation information may be collected and subsequently used to determine the user&#39;s momentary interest, at  621 . 
       FIG. 7  is a flowchart of an exemplary process in which a client requesting content receives enriched content, according to an embodiment of the present teaching. In this process, a content request is received from a user of the client, at  701 . The parameters relating to the user platform are obtained, at  702 , and then transmitted with the request to the server, at  703 . Subsequently, the enriched content is received by the client from the server, at  704 . As discussed above, the enriched content contains both the requested content as well as additional content relating to the requested content and the user. The received content (requested and additional) is then presented to the user, at  705 . As the user navigates the requested content and additional content, the client receives this information, at  706 , and transmits it to the server, at  707 , so that the server may incorporate the user&#39;s navigation information in subsequent determinations of additional content. 
       FIG. 8  is a functional block diagram of an exemplary system  800  in which the a request for content may return an enriched content page. Each or some of the blocks in system  800  may be a stand-alone computer or server connected to the Internet and/or a local area network while others may be subroutines within one or more programs operating on a single computer or server. In this system, a request handling unit  810  may initially receive a request for content. Depending on certain conditions, such as for example, system demands, time of day, geographic location of requestor, preferences selected by the requestor, or type of request, the request handling unit  810  may for example deny the request, redirect the request, or queue the request. 
     Under some conditions, the request handling unit may send a request to the initial content generator  820  for generating initial content. Depending on the manner of the request and the parameters, if any, set by the requesting user, the initial content generator  820  may do any number of things in response to the request. For example, in response to certain requests received by the initial content generator  820  from the request handling unit  810 , the initial content generator  820  may send a request for content to the content retrieving unit  830 . This request sent to the content retrieving unit  830  may be identical to the incoming request for content that was received by the request handling unit  810 . Upon receiving the request for content, the content retrieving unit  830  may retrieve the content from one or more content sources  840  or, in some embodiments, the content retrieving  830  unit may cache some content that, for example, may be commonly requested. The retrieved content may contain information relating to the type of platform upon which the page was intended to be viewed (e.g., a mobile device). Upon retrieving the requested content, the content retrieving unit  830  may then forward the retrieved content to the initial content generator  820 . 
     Upon receiving the requested content, the initial content generator may do a number of things sequentially or simultaneously. The initial content generator  820  may send the requested content to the content parser  850  to parse the requested content into different components such as text, images, headings, advertisements, etc. The content parser  850  may be able to parse the requested content based on typical HTML organization but also based on heuristics or other known methods. The content parser  850  may then return some or all of the content to the initial content generator  820  where it may be forwarded to the content page generator  890 . The content parser  850  may also forward or indicate to the enriched content generator  870  certain information such as the type of information was requested by the request for content. 
     The initial content generator  820  may also forward some or all of the requested content it received from the content retrieving unit  830 . What may be forwarded to the content page generator  890  from the initial content generator  820  may be dependent upon the information provided by the platform assessment unit  812 . For example, the platform assessment unit  812  may indicate to the initial content generator  820  that platform of the device upon which the request was sent may be a desktop computer with a browser window open at a size of 1680×1050 pixels while the content retrieving unit  830  sent to the initial content generator  820  content that was designed for a mobile device having a browser window of 960×640. In such circumstance, the initial content generator  820  may send the parsed text of a requested content to the content page generator  890  as well as embedded photos or videos in a larger size (area and/or resolution). 
     The initial content generator  820  may also forward or indicate to content subject analyzer  860  the requested content it received from the content retrieving unit  830 . The content subject analyzer  860  analyzes the requested content for a multitude of things such as for example the type of content (e.g., news, information, photo, audio, video, etc.), the subject matter of the content, the temporal significance of the content (i.e., a historical request or a recent news event). The content analyzer  860  may then send certain search terms and other information to the enriched content generator  870  for determining what type of and how to prioritize additional content to include into the enriched content page. 
     Upon receiving information from the content subject analyzer  860 , the enriched content generator  870  may send a request to the content retrieving unit  830  to retrieve enriched content. Upon receiving the requested content from the content retrieving unit  830 , the enriched content generator  870  may forward the content to the enriched content ranking module  880  where the enriched content is ranked according to its relevance to the terms identified by the content subject analyzer  860 . In some embodiments, the enriched content may also be sent to the content parser  850  to be parsed and returned to the enriched content generator  870  in various parts. Upon receiving and ranking the enriched content, the enriched content ranking module  880  sends the ranked additional content to the content page generator  890 . Upon receiving the requested content from the initial content generator  820  and the ranked additional content from the enriched content ranking module  880 , the content page generator  890  combines the contents into one page to be viewed by the requesting user. 
     To implement the present teaching, computer hardware platforms may be used as the hardware platform(s) for one or more of the elements described herein. The hardware elements, operating systems and programming languages of such computers are conventional in nature, and it is presumed that those skilled in the art are adequately familiar therewith to adapt those technologies to implement the DCP processing essentially as described herein. A computer with user interface elements may be used to implement a personal computer (PC) or other type of work station or terminal device, although a computer may also act as a server if appropriately programmed. It is believed that those skilled in the art are familiar with the structure, programming and general operation of such computer equipment and as a result the drawings should be self-explanatory. 
       FIG. 9  depicts a general computer architecture on which the present teaching can be implemented and has a functional block diagram illustration of a computer hardware platform which includes user interface elements. The computer may be a general purpose computer or a special purpose computer. This computer  900  can be used to implement any components of the enriched content generation as described herein. For example, the enriched content generator processing unit  400  of  FIG. 4  that process an inquiry about how additional content is related to requested contend and user information can be implemented on a computer such as computer  900 , via its hardware, software program, firmware, or a combination thereof. Although only one such computer is shown, for convenience, the computer functions relating to content enrichment may be implemented in a distributed fashion on a number of similar platforms, to distribute the processing load. 
     The computer  900 , for example, includes COM ports  950  connected to and from a network connected thereto to facilitate data communications. The computer  900  also includes a central processing unit (CPU)  920 , in the form of one or more processors, for executing program instructions. The exemplary computer platform includes an internal communication bus  910 , program storage and data storage of different forms, e.g., disk  970 , read only memory (ROM)  930 , or random access memory (RAM)  940 , for various data files to be processed and/or communicated by the computer, as well as possibly program instructions to be executed by the CPU. The computer  900  also includes an I/O component  960 , supporting input/output flows between the computer and other components therein such as user interface elements  980 . The computer  900  may also receive programming and data via network communications. 
       FIG. 10  depicts a general mobile device architecture on which the present teaching can be implemented. In this example, the user device on which enriched content is presented is a mobile device  1000 , including but is not limited to, a smart phone, a tablet, a music player, a handled gaming console, a global positioning system (GPS) receiver. The mobile device  1000  in this example includes one or more central processing units (CPUs)  1002 , one or more graphic processing units (GPUs)  1004 , a display  1006 , a memory  1008 , a communication platform  1010 , such as a wireless communication module, storage  1012 , and one or more input/output (I/O) devices  1014 . Any other suitable component, such as but not limited to a system bus or a controller (not shown), may also be included in the mobile device  1000 . As shown in  FIG. 10 , a mobile operating system  1016 , e.g., iOS, Android, Windows Phone, etc., and one or more applications  1018  may be loaded into the memory  1008  from the storage  1012  in order to be executed by the CPU  1002 . The applications  1018  may include a browser or any other suitable mobile apps for receiving and rendering enriched content stream on the mobile device  1000 . Execution of the applications  1018  may cause the mobile device  1000  to perform the processing as described above. For example, the display of enriched content to the user may be made by the GPU  1004  in conjunction with the display  1006 . User interactions with the enriched content may be achieved via the I/O devices  1014  and provided to the enriched content generator via the communication platform  1010 . 
     Hence, aspects of the methods of providing enriched content to a user platform based on the requested content and the user platform, as outlined above, may be embodied in programming. Program aspects of the technology may be thought of as “products” or “articles of manufacture” typically in the form of executable code and/or associated data that is carried on or embodied in a type of machine readable medium. Tangible non-transitory “storage” type media include any or all of the memory or other storage for the computers, processors or the like, or associated modules thereof, such as various semiconductor memories, tape drives, disk drives and the like, which may provide storage at any time for the software programming. 
     All or portions of the software may at times be communicated through a network such as the Internet or various other telecommunication networks. Such communications, for example, may enable loading of the software from one computer or processor into another, for example, from a user device into the hardware platform(s) of a computing environment or other system implementing a computing environment or similar functionalities in connection with providing enriched content to a user platform based on the requested content and the user platform. Thus, another type of media that may bear the software elements includes optical, electrical and electromagnetic waves, such as used across physical interfaces between local devices, through wired and optical landline networks and over various air-links. The physical elements that carry such waves, such as wired or wireless links, optical links or the like, also may be considered as media bearing the software. As used herein, unless restricted to tangible “storage” media, terms such as computer or machine “readable medium” refer to any medium that participates in providing instructions to a processor for execution. 
     Hence, a machine readable medium may take many forms, including but not limited to, a tangible storage medium, a carrier wave medium or physical transmission medium. Non-volatile storage media include, for example, optical or magnetic disks, such as any of the storage devices in any computer(s) or the like, which may be used to implement the system or any of its components as shown in the drawings. Volatile storage media include dynamic memory, such as a main memory of such a computer platform. Tangible transmission media include coaxial cables; copper wire and fiber optics, including the wires that form a bus within a computer system. Carrier-wave transmission media can take the form of electric or electromagnetic signals, or acoustic or light waves such as those generated during radio frequency (RF) and infrared (IR) data communications. Common forms of computer-readable media therefore include for example: a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD or DVD-ROM, any other optical medium, punch cards paper tape, any other physical storage medium with patterns of holes, a RAM, a PROM and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave transporting data or instructions, cables or links transporting such a carrier wave, or any other medium from which a computer can read programming code and/or data. Many of these forms of computer readable media may be involved in carrying one or more sequences of one or more instructions to a processor for execution. 
     Those skilled in the art will recognize that the present teachings are amenable to a variety of modifications and/or enhancements. For example, although the implementation of various components described above may be embodied in a hardware device, it can also be implemented as a software only solution—e.g., an installation on an existing server. In addition, the system and its components as disclosed herein can be implemented as a firmware, firmware/software combination, firmware/hardware combination, or a hardware/firmware/software combination. 
     While the foregoing has described what are considered to be the best mode and/or other examples, it is understood that various modifications may be made therein and that the subject matter disclosed herein may be implemented in various forms and examples, and that the teachings may be applied in numerous applications, only some of which have been described herein. It is intended by the following claims to claim any and all applications, modifications and variations that fall within the true scope of the present teachings.