US-20260127240-A1 - SYSTEM AND METHOD FOR PROVIDING SOCIAL/PRIVATE INFORMATION WITH A SEARCH RESULT

Abstract

The present teaching relates to providing content. Online documents are searched based on a query from a user. For each searched online document, enriched information thereof is created based on social data associated thereto and, if existing, private information previously provided by the user to privately evaluate the online document. An enhanced search result is generated based on the online documents with their respective enriched information and provided to the user in response to the query.

Inventors

• Fiana Raiber
• Yaroslav Fyodorov
• Ran MOSHE
• Alex Shtoff
• Ilan Ben-Bassat

Assignees

• YAHOO ASSETS LLC

Dates

Publication Date

20260507

Application Date

20241101

Claims (20)

1. 1 . A method, comprising: receiving a query from a user; searching content based on the query, wherein the content that matches the query includes a plurality of documents; with respect each of the plurality of documents, obtaining social data associated with the document, wherein the social data represents public evaluation of the document, retrieving accessible private information provided by the user previously with respect to the document to assess the document, and generating an enhanced record including the document and enriched information thereof which includes the social data and accessible private information; generating an enhanced search result based on the plurality of enhanced records; and presenting the enhanced search result on a webpage to the user in response to the query, wherein the presented enhanced search result includes each of the plurality of documents, the corresponding social data, and the corresponding accessible private information. and wherein the document, the corresponding social data, and the corresponding accessible private information are displayed separately from each other on the webpage.
2. 2 . The method of claim 1 , wherein the social data associated with the document comprises statistics which includes: a total number of hits of the document in different searches; a total number of times that the document is reviewed; a total number of positive feedback by viewers; and a total number of negative feedback by viewers.
3. 3 . The method of claim 1 , wherein the private information associated with the document includes at least one of: a private assessment of the document; and a private note that the user previously created for the document, wherein the private information directed to the document is to be provided only to the user, and the private assessment indicates whether the user likes or dislikes the document.
4. 4 . The method of claim 1 , wherein the enriched information related to the document is to be displayed together; the social data in the enriched information represents a public assessment of the document; and the private information in the enriched information, if existing, presents a private evaluation previously made by the user about the document.
5. 5 . The method of claim 1 , further comprising: receiving an input from the user after the enhanced search result is provided to the user; when the input is a request to review one of the plurality of documents, providing the user content of the document, monitoring feedback from the user on the document, updating the social data associated with the document based on the feedback from the user.
6. 6 . The method of claim 5 , further comprising: if the input is a request to review a private note in the private information created previously by the user with respect to the document, retrieving the previously created private note, providing to the user the retrieved private note.
7. 7 . The method of claim 6 , further comprising: if the user requests to privately evaluate the document, receiving information from the user representing a private evaluation of the document, and updating the private information associated with the user with respect to the document based on the private evaluation, and updating the social data associated with the document based on the private evaluation from the user; and if the user requests to privately evaluate the document, facilitating the user to create a private note about the document, updating the private information associated with the user with respect to the document based on the private note.
8. 8 . A machine-readable and non-transitory medium having information recorded thereon, wherein the information, when read by the machine, causes the machine to perform the following steps: receiving a query from a user; searching content based on the query, wherein the content that matches the query includes a plurality of documents; with respect each of the plurality of documents, obtaining social data associated with the document, wherein the social data represents public evaluation of the document, retrieving accessible private information provided by the user previously with respect to the document to assess the document, and generating an enhanced record including the document and enriched information thereof which includes the social data and accessible private information; generating an enhanced search result based on the plurality of enhanced records; and presenting the enhanced search result on a webpage to the user in response to the query, wherein the presented enhanced search result includes each of the plurality of documents, the corresponding social data, and the corresponding accessible private information, and wherein the document, the corresponding social data, and the corresponding accessible private information are displayed separately from each other on the webpage.
9. 9 . The medium of claim 8 , wherein the social data associated with the document comprises statistics which includes: a total number of hits of the document in different searches; a total number of times that the document is reviewed; a total number of positive feedback by viewers; and a total number of negative feedback by viewers.
10. 10 . The medium of claim 8 , wherein the private information associated with the document includes at least one of: a private assessment of the document; and a private note that the user previously created for the document, wherein the private information directed to the document is to be provided only to the user, and the private assessment indicates whether the user likes or dislikes the document.
11. 11 . The medium of claim 8 , wherein the enriched information related to the document is to be displayed together; the social data in the enriched information represents a public assessment of the document; and the private information in the enriched information, if existing, presents a private evaluation previously made by the user about the document.
12. 12 . The medium of claim 8 , wherein the information, when read by the machine, further causes the machine to perform the following steps: receiving an input from the user after the enhanced search result is provided to the user; when the input is a request to review one of the plurality of documents, providing the user content of the document, monitoring feedback from the user on the document, updating the social data associated with the document based on the feedback from the user.
13. 13 . The medium of claim 12 , wherein the information, when read by the machine, further causes the machine to perform the following steps: if the input is a request to review a private note in the private information created previously by the user with respect to the document, retrieving the previously created private note, providing to the user the retrieved private note.
14. 14 . The medium of claim 13 , wherein the information, when read by the machine, further causes the machine to perform the following steps: if the user requests to privately evaluate the document, receiving information from the user representing a private evaluation of the document, and updating the private information associated with the user with respect to the document based on the private evaluation, and updating the social data associated with the document based on the private evaluation from the user; and if the user requests to privately evaluate the document, facilitating the user to create a private note about the document, updating the private information associated with the user with respect to the document based on the private note.
15. 15 . A system, comprising: a user interaction unit implemented by a processor and configured for receiving a query from a user; a content search engine implemented by a processor and configured for searching content based on the query, wherein the content that matches the query includes a plurality of documents, with respect each of the plurality of documents, obtaining social data associated with the document, wherein the social data represents public evaluation of the document, retrieving accessible private information provided by the user previously with respect to the document to assess the document, and generating an enhanced record including the document and enriched information thereof which includes the social data and accessible private information, and generating an enhanced search result based on the plurality of enhanced records; and wherein the user interaction unit is further configured for presenting the enhanced search result on a webpage to the user in response to the query, wherein the presented enhanced search result includes each of the plurality of documents, the corresponding social data, and the corresponding accessible private information, and wherein the document, the corresponding social data, and the corresponding accessible private information are displayed separately from each other on the webpage.
16. 16 . The system of claim 15 , wherein the social data associated with the document comprises statistics which includes: a total number of hits of the document in different searches, a total number of times that the document is reviewed, a total number of positive feedback by viewers, and a total number of negative feedback by viewers; and the private information associated with the document includes at least one of: a private assessment of the document, and a private note that the user previously created for the document, wherein the private information directed to the document is to be provided only to the user, and the private assessment indicates whether the user likes or dislikes the document.
17. 17 . The system of claim 15 , wherein the enriched information related to the document is to be displayed together; the social data in the enriched information represents a public assessment of the document; and the private information in the enriched information, if existing, presents a private evaluation previously made by the user about the document.
18. 18 . The system of claim 15 , wherein the content search engine is further configured for: receiving an input from the user after the enhanced search result is provided to the user; when the input is a request to review one of the plurality of documents, providing the user content of the document, monitoring feedback from the user on the document, updating the social data associated with the document based on the feedback from the user.
19. 19 . The system of claim 18 , wherein the content search engine is further configured for: if the input is a request to review a private note in the private information created previously by the user with respect to the document, obtaining the previously created private note, providing to the user the retrieved private note.
20. 20 . The system of claim 19 , wherein the content search engine is further configured for, if the user requests to privately evaluate the document, receiving information from the user representing a private evaluation of the document, and updating the private information associated with the user with respect to the document based on the private evaluation, and updating the social data associated with the document based on the private evaluation from the user; and if the user requests to privately evaluate the document, facilitating the user to create a private note about the document, updating the private information associated with the user with respect to the document based on the private note.

Description

BACKGROUND 1. Technical Field The present teaching generally relates to information processing. More specifically, the present teaching relates to providing content. 2. Technical Background With the development of the Internet and the ubiquitous network connections, daily activities are often conducted online. Millions of user access, via network connections, digital content to keep informed of what is going on in the world. Such online digital content may be obtained via, e.g., a search engine, which may identify online content based on queries provided by users. Searching online content has become an essential part of daily lives of most and online content includes news, articles, music pieces, video content, communications, sales, as well as discussions directed to different topics. FIG. 1 illustrates an example search result generated by a search engine based on an example search query (“hurricane in 2024 florida”). This is a typical search result with a list of hyperlinks representing respective online documents related to the query. Although such a search result provides the user a list of online documents, a determination of which document offers the information the user is seeking still requires the user to browse through the hyperlinked documents. Because the search result as illustrated in FIG. 1 does not provide information that can assist a user to make a determination as to what may be useful, identifying the useful document(s) from a search result remains inefficient and even burdensome, making the process of finding useful information time consuming. In addition, if a user finds some online document that is worthwhile to revisit and likes to mark it as such, a user has no means to do so except by saving the hyperlink or the online document and save on some other platform, requiring switching back and forth between different platforms. Alternatively, the user may perform another search next time using, e.g., the same query, hoping that the next search result will include the same online document. As such, the traditional online search approach does not facilitate a user to effectively identify what they are looking for. Thus, there is a need for developing an approach to overcome the shortcomings associated with the current state of the art. SUMMARY The teachings disclosed herein relate to methods, systems, and programming for information management. More particularly, the present teaching relates to methods, systems, and programming related to content summarization. In one example, a method, implemented on a machine having at least one processor, storage, and a communication platform capable of connecting to a network for providing content. Online documents are searched based on a query from a user. For each searched online document, enriched information thereof is created based on social data associated thereto and, if existing, private information previously provided by the user to privately evaluate the online document. An enhanced search result is generated based on the online documents with their respective enriched information and provided to the user in response to the query. In a different example, a system is disclosed for providing content that includes a user interaction unit and a content search engine. The user interaction unit is provided for receiving a query from a user. The content search engine is provided for generating an enhanced search result based on the query and creating enriched information for each of the online documents based on social data associated thereto and, if existing, private information previously provided by the user to privately evaluate the online document is created. The enhanced search result combines each of the online documents with its respective enriched information and is provided to the user in response to the query. Other concepts relate to software for implementing the present teaching. A software product, in accordance 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, parameters in association with the executable program code, and/or information related to a user, a request, content, or other additional information. Another example is a machine-readable, non-transitory and tangible medium having information recorded thereon for providing content. Online documents are searched based on a query from a user. For each searched online document, enriched information thereof is created based on social data associated thereto and, if existing, private information previously provided by the user to privately evaluate the online document. An enhanced search result is generated based on the online documents with their respective enriched information and provided to the user in response to the query. Additional advantages and novel features will be set forth in part in the description which follows, and in part