Method of and system for conducting personalized federated search and presentation of results therefrom

• US 10,152,541 B2
• Filed: 05/19/2015
• Issued: 12/11/2018
• Est. Priority Date: 09/10/2010
• Status: Active Grant

• Current Assignee: Veveo, Inc. (Adeia Inc.)
• Original Assignee: Veveo, Inc. (Adeia Inc.)
• Inventors: Barve, Rakesh, Garg, Pankaj, Venkataraman, Sashikumar, Aravamudan, Murali, Faldu, Keyur Vallabhbhai, Agarwal, Vineet, Anand, Apurv
• Primary Examiner(s): Coby, Frantz
• Application Number:
  US14/715,993
• Publication Number:
  US 20150254355A1
• Time in Patent Office: 1,302 Days
• Field of Search: 707700, 707707, 707758, 707769, 709201, 709203, 709213, 709217
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Claims

1. A computer-implemented user interface method of presenting results of a search customized using content preferences learned about a user, the method comprising:

receiving a user input action for interacting with an application on a user device;

in response to receiving the user input action, sending query information to a search engine, the query information including user information, the user information including (i) context information describing an environment in which the user input action was received, the context information adapted into a syntax understandable by the search engine, and (ii) a user signature representing content preferences learned about the user;

generating customized search results by receiving a set of search results and auxiliary information from the search engine in response to sending the query information, the auxiliary information including information describing attributes of each search result of the set of search results that led to each search result being chosen by the search engine;

ordering the set of search results based at least in part on the auxiliary information; and

presenting, to the user, the ordered set of search results customized using the content preferences learned about the user.

2. The method of claim 1, wherein the auxiliary information includes at least one of:

an identification of a dataspace associated with each search result,

an identification of the search engine that provided each search result,

a relevance list, wherein a relevance list element represents a set of an attribute of each search result and a value indicating a relevance of the attribute to at least one of the query and the user information,

a textual location list, wherein a textual location list element represents a location of search terms from the query information in fields provided by each search result,

a disjunction indicator list, wherein a disjunction indicator list element represents whether a corresponding search term from the query information matched each search result,

a spelling correction list, wherein a spelling correction list element represents whether a corresponding search term from the query information exactly matched a substring of fields from each search result, and wherein the spelling correction list element represents a value indicating a distance between each search term and the matched substring, if a match was based on an applied spelling correction,

a complete word match list, wherein a complete word match list element represents whether a corresponding search term from the query information exactly matched a full word of fields from each search result based on an applied spelling correction,

a field match list, wherein a field match list element represents whether the search query information matched all words of a field of each search result,

a location proximity indicator representing a value for a distance from each search result to a specified location, and

a location query-place indicator representing whether a part of the search query information matched an entity recognized to be a place having a location.

3. The method of claim 1, wherein the ordering is further based on search engine general information, the search engine general information describing a corresponding search engine.

4. The method of claim 3, wherein the ordering based on the search engine general information is based on a comparison between the search engine general information and the user information.

5. The method of claim 4, wherein the search engine general information includes at least one of a measure of importance relative to other search engines of reordering criteria of different metacontent descriptor fields, a measure of importance relative to other search engines of spelling correction matches, a measure of importance relative to other search engines of disjunction indicators, a relative interpretation of distance compared to other search engines for location indicators, whether an existence of a search result from the search engine indicates that the search result should be presented as important, and a relative importance compared to other search engines of complete word matches.

6. The method of claim 1, further comprising selecting the search engine to which the query information is sent based on a measure of a use by the user of the search engine.

7. The method of claim 1, wherein the content preferences learned about the user include at least one of a user profile, user behavior, and user activity.

8. The method of claim 1, wherein the set of search results includes at least one content item.

9. The method of claim 8, wherein the at least one content item includes at least one of a contact, device application, music item, web site address, uniform resource locator (URL) for web browsing, business listing, and ring tone.

10. The method of claim 1, wherein the search engine includes a recommendation engine, the recommendation engine recommending search results based on at least a portion of the user information.

11. A system for presenting results of a search customized using content preferences learned about a user, the system comprising:

a non-transitory computer memory store comprising instructions in computer readable form that when executed cause a computer system to receive a user input action for interacting with an application on a user device;

in response to receiving the user input action, send query information to a search engine, the query information including user information, the user information including (i) context information describing an environment in which the user input action was received, the context information adapted into a syntax understandable by the search engine, and (ii) a user signature representing content preferences learned about the user;

generate customized search results by receiving a set of search results and auxiliary information from the search engine in response to sending the query information, the auxiliary information including information describing attributes of each search result of the set of search results that led to each search result being chosen by the search engine;

order the set of search results based at least in part on the auxiliary information; and

present, to the user, the ordered set of search results customized using the content preferences learned about the user.

12. The system of claim 11, wherein the auxiliary information includes at least one of:

an identification of a dataspace associated with each search result,

an identification of the search engine that provided each search result,

a relevance list, wherein a relevance list element represents a set of an attribute of each search result and a value indicating a relevance of the attribute to at least one of the query and the user information,

a textual location list, wherein a textual location list element represents a location of search terms from the query information in fields provided by each search result,

a disjunction indicator list, wherein a disjunction indicator list element represents whether a corresponding search term from the query information matched each search result,

a spelling correction list, wherein a spelling correction list element represents whether a corresponding search term from the query information exactly matched a substring of fields from each search result, and wherein the spelling correction list element represents a value indicating a distance between each search term and the matched substring, if a match was based on an applied spelling correction,

a complete word match list, wherein a complete word match list element represents whether a corresponding search term from the query information exactly matched a full word of fields from each search result based on an applied spelling correction,

a field match list, wherein a field match list element represents whether the search query information matched all words of a field of each search result,

a location proximity indicator representing a value for a distance from each search result to a specified location, and

a location query-place indicator representing whether a part of the search query information matched an entity recognized to be a place having a location.

13. The system of claim 11, wherein the ordering is further based on search engine general information, the search engine general information describing a corresponding search engine.

14. The system of claim 13, wherein the ordering based on the search engine general information is based on a comparison between the search engine general information and the user information.

15. The system of claim 14, wherein the search engine general information includes at least one of a measure of importance relative to other search engines of reordering criteria of different metacontent descriptor fields, a measure of importance relative to other search engines of spelling correction matches, a measure of importance relative to other search engines of disjunction indicators, a relative interpretation of distance compared to other search engines for location indicators, whether an existence of a search result from the search engine indicates that the search result should be presented as important, and a relative importance compared to other search engines of complete word matches.

16. The system of claim 11, the computer memory store further comprising instructions that cause the computer system to select the search engine to which the query information is sent based on a measure of a use by the user of the search engine.

17. The system of claim 11, wherein the content preferences learned about the user include at least one of a user profile, user behavior, and user activity.

18. The system of claim 11, wherein the set of search results includes at least one content item.

19. The system of claim 18, wherein the at least one content item includes at least one of a contact, device application, music item, web site address, uniform resource locator (URL) for web browsing, business listing, and ring tone.

20. The system of claim 11, wherein the search engine includes a recommendation engine, the recommendation engine recommending search results based on at least a portion of the user information.

21. A method for presenting results of a search customized using content preferences learned about a user, the method comprising:

receiving, at a server comprising control circuitry and memory, from a device operated by a user, a query comprising a search request and context information, the context information describing an environment in which the user input action was received, the context information adapted into a syntax understandable by a search engine;

in response to receiving the query, retrieving, by the control circuitry, a customized set of search results based on the query and a plurality of learned user preferences contained in a profile corresponding to the user stored in the memory, each search result of the set of search results comprising auxiliary information, the auxiliary information including information describing attributes of the search result that led to the search result being chosen by the search engine;

ordering the set of search results based on the context information; and

causing the device to display the ordered set of search results customized using the content preferences learned about the user.

22. The method of claim 21, wherein ordering the set of search results based on the context information comprises:

determining, by the control circuitry, a respective correlation score indicating a correlation between the auxiliary information of each search result of the set of search results and the context information; and

ordering the set of search results by correlation score in decreasing order.

23. A system for presenting results of a search customized using content preferences learned about a user, the system comprising server having control circuitry and memory with instructions encoded thereon, the instructions comprising:

an instruction for receiving, at the server, from a device operated by a user, a query comprising a search request and context information, the context information describing an environment in which the user input action was received, the context information adapted into a syntax understandable by a search engine;

an instruction for, in response to receiving the query, retrieving, by the control circuitry, a set of customized search results based on the query and a plurality of learned user preferences contained in a profile corresponding to the user stored in the memory, each search result of the set of search results comprising auxiliary information, the auxiliary information including information describing attributes of the search result that led to the search result being chosen by the search engine;

an instruction for ordering the set of search results based on the context information; and

an instruction for causing the device to display the ordered set of search results customized using the content preferences learned about the user.

24. The system of claim 23, wherein the instruction for ordering the set of search results based on the context information comprises:

an instruction for determining, by the control circuitry, a respective correlation score indicating a correlation between the auxiliary information of each search result of the set of search results and the context information; and

an instruction for ordering the set of search results by correlation score in decreasing order.