Personalizing search queries based on user membership in social network communities

• US 9,489,462 B1
• Filed: 08/25/2014
• Issued: 11/08/2016
• Est. Priority Date: 06/22/2004
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Spertus, Ellen, Lawrence, Stephen R.
• Primary Examiner(s): Hasan, Syed
• Application Number:
  US14/468,297
• Time in Patent Office: 806 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/3337 Translation of the query language, e.g. Chinese to English
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles

Abstract

Methods and systems for improving user search experience with a search engine by providing a way for associated users to personalize search queries and/or search results based on users'"'"' information gathered from a social network. Search personalization can be achieved through the tailoring of search methodologies or the ranking or ordering of search results in accordance with information gathered for each user.

Claims

1. A computer-implemented method comprising:

receiving, using one or more computing devices, a search query from a first user for content, the first user associated with a user profile identifying a membership of the first user in a plurality of communities in a social network;

retrieving personalization information from the user profile and user activities associated with the user profile;

automatically determining, using the one or more computing devices, a degree of personalization for personalizing the search query for the first user using the personalization information based on the membership of the first user in at least one of the communities;

combining, using the one or more computing devices, the search query received from the first user with the personalization information to form a personalized search query based on the degree of personalization; and

searching, using the one or more computing devices, for the content using the personalized search query to produce a search result set comprising documents relevant to the personalized search query.

2. The computer-implemented method of claim 1, wherein the degree of personalization for personalizing the search query is further based on an input from the first user.

3. The computer-implemented method of claim 2, wherein the input from the first user indicates a subset of the communities selected by the first user and the degree of personalization for personalizing the search query is based on the subset of the communities selected by the first user.

4. The computer-implemented method of claim 1, wherein the degree of personalization for personalizing the search query is further based on one or more of an amount of participation by the first user in the at least one of the communities and a frequency of participation by the first user in the at least one of the communities.

5. The computer-implemented method of claim 1, wherein retrieving the personalization information includes retrieving data from a user profile of a second user based on a type of social relationship between the first user and the second user.

6. The computer-implemented method of claim 1, wherein the search query received from the first user is directed to a content index that is independent of the social network.

7. The computer-implemented method of claim 1, wherein combining the search query received from the first user with the personalization information to form the personalized search query includes expanding the search query to include a search term explicitly defined by the at least one of the communities.

8. The computer-implemented method of claim 1, further comprising ranking, using the one or more computing devices, the search result set based on a relevancy of each search result in the search result set to the at least one of the communities included in the personalization information.

9. A system comprising:

one or more processors; and

one or more memories storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising;

receiving a search query from a first user for content, the first user associated with a user profile identifying a membership of the first user in a plurality of communities in a social network;

retrieving personalization information from the user profile and user activities associated with the user profile;

automatically determining a degree of personalization for personalizing the search query for the first user using the personalization information based on the membership of the first user in at least one of the communities;

combining the search query received from the first user with the personalization information to form a personalized search query based on the degree of personalization; and

searching for the content using the personalized search query to produce a search result set comprising documents relevant to the personalized search query.

10. The system of claim 9, wherein the degree of personalization for personalizing the search query is further based on an input from the first user.

11. The system of claim 10, wherein the input from the first user indicates a subset of the communities selected by the first user and the degree of personalization for personalizing the search query is based on the subset of the communities selected by the first user.

12. The system of claim 9, wherein the degree of personalization for personalizing the search query is further based on one or more of an amount of participation by the first user in the at least one of the communities and a frequency of participation by the first user in the at least one of the communities.

13. The system of claim 9, wherein retrieving the personalization information includes retrieving data from a user profile of a second user based on a type of social relationship between the first user and the second user.

14. The system of claim 9, wherein the search query received from the first user is directed to a content index that is independent of the social network.

15. The system of claim 9, wherein combining the search query received from the first user with the personalization information to form the personalized search query includes expanding the search query to include a search term explicitly defined by the at least one of the communities.

16. A computer program product comprising a non-transitory computer readable medium storing a computer readable program, wherein the computer readable program when executed causes the computer to perform operations comprising:

receiving a search query from a first user for content, the first user associated with a user profile identifying a membership of the first user in a plurality of communities in a social network;

retrieving personalization information from the user profile and user activities associated with the user profile;

automatically determining a degree of personalization for personalizing the search query for the first user using the personalization information based on the membership of the first user in at least one of the communities;

combining the search query received from the first user with the personalization information to form a personalized search query based on the degree of personalization; and

searching for the content using the personalized search query to produce a search result set comprising documents relevant to the personalized search query.

17. The computer program product of claim 16, wherein the degree of personalization for personalizing the search query is further based on an input from the first user.

18. The computer program product of claim 17, wherein the input from the first user indicates a subset of the communities selected by the first user and the degree of personalization for personalizing the search query is based on the subset of the communities selected by the first user.

19. The computer program product of claim 16, wherein the degree of personalization for personalizing the search query is further based on one or more of an amount of participation by the first user in the at least one of the communities and a frequency of participation by the first user in the at least one of the communities.

20. The computer program product of claim 16, wherein retrieving the personalization information includes retrieving data from a user profile of a second user based on a type of social relationship between the first user and the second user.