SEARCH QUERY SUGGESTIONS BASED ON PERSONAL INFORMATION

• US 20140280107A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Heymans, Maureen, Shukla, Ashutosh, Kulick, Matthew E., Horling, Bryan C., Rajamani, Harish, Fernquist, Jennifer E.
• Granted Patent: US 9,317,585 B2
• Time in Patent Office: Days
• US Class Current: 707/727
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query initial input from a user, in response to receiving the query initial input, determining a set of personalized query suggestions based on the query initial input, the set of personalized query suggestions including one or more content-based query suggestions that reflect at least one of user data associated with the user within one or more computer-implemented services and use of the one or more computer-implemented services by the user, and transmitting instructions to display the set of personalized query suggestions to the user.

Claims

1. A computer-implemented method executed using one or more processors, the method comprising:

receiving, by the one or more processors, a query initial input from a user;

in response to receiving the query initial input, determining a set of personalized query suggestions based on the query initial input, the set of personalized query suggestions comprising one or more content-based query suggestions that reflect at least one of user data associated with the user within one or more computer-implemented services and use of the one or more computer-implemented services by the user; and

transmitting instructions to display the set of personalized query suggestions to the user.

2. The method of claim 1, further comprising determining a rank order of personalized query suggestions in the set of personalized query suggestions, the personalized query suggestions being displayed in the rank order.

3. The method of claim 2, wherein is the rank order is determined based on at least one of a relevance, frequency of use of services, and user content associated with services.

4. The method of claim 2, wherein the rank order is based on types of query suggestions in the set of personalized query suggestions.

5. The method of claim 1, wherein each of the one or more content-based query suggestions is associated with a computer-implemented service of the one or more computer-implemented services, with which the user has a level of engagement that exceeds a threshold level of engagement.

6. The method of claim 1, further comprising receiving a selection of a query suggestion from the set of personalized query suggestions and, in response, retrieving one or more search results that are responsive to the query suggestion.

7. The method of claim 6, further comprising:

identifying the query suggestion as a highest ranking query suggestion, wherein the selection is an automatic selection in response to the query suggestion being the highest ranking query suggestion; and

transmitting instructions to display one or more search results associated with the highest ranking query suggestion as preliminary search results.

8. The method of claim 1, wherein the set of personalized query suggestions further comprises one or more history-based query suggestions, each history-based query suggestion reflecting a query previously submitted by the user.

9. The method of claim 1, wherein the one or more content-based query suggestions comprise at least one of content generated by the user within one or more computer-implemented services, content received by the user within the one or more computer-implemented services, and indicating use by the user of the one or more computer-implemented services.

10. A system comprising:

a data store for storing data; and

one or more processors configured to interact with the data store, the one or more processors being further configured to perform operations comprising;

receiving a query initial input from a user;

in response to receiving the query initial input, determining a set of personalized query suggestions based on the query initial input, the set of personalized query suggestions comprising one or more content-based query suggestions that reflect at least one of user data associated with the user within one or more computer-implemented services and use of the one or more computer-implemented services by the user; and

transmitting instructions to display the set of personalized query suggestions to the user.

11. The system of claim 10, wherein operations further comprise determining a rank order of personalized query suggestions in the set of personalized query suggestions, the personalized query suggestions being displayed in the rank order.

12. The system of claim 11, wherein is the rank order is determined based on at least one of a relevance, frequency of use of services, and user content associated with services.

13. The system of claim 11, wherein the rank order is based on types of query suggestions in the set of personalized query suggestions.

14. The system of claim 10, wherein each of the one or more content-based query suggestions is associated with a computer-implemented service of the one or more computer-implemented services, with which the user has a level of engagement that exceeds a threshold level of engagement.

15. The system of claim 10, wherein operations further comprise receiving a selection of a query suggestion from the set of personalized query suggestions and, in response, retrieving one or more search results that are responsive to the query suggestion.

16. The system of claim 15, wherein operations further comprise:

identifying the query suggestion as a highest ranking query suggestion, wherein the selection is an automatic selection in response to the query suggestion being the highest ranking query suggestion; and

transmitting instructions to display one or more search results associated with the highest ranking query suggestion as preliminary search results.

17. The system of claim 10, wherein the set of personalized query suggestions further comprises one or more history-based query suggestions, each history-based query suggestion reflecting a query previously submitted by the user.

18. The system of claim 10, wherein the one or more content-based query suggestions comprise at least one of content generated by the user within one or more computer-implemented services, content received by the user within the one or more computer-implemented services, and indicating use by the user of the one or more computer-implemented services.

19. A computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

receiving a query initial input from a user;

in response to receiving the query initial input, determining a set of personalized query suggestions based on the query initial input, the set of personalized query suggestions comprising one or more content-based query suggestions that reflect at least one of user data associated with the user within one or more computer-implemented services and use of the one or more computer-implemented services by the user; and

transmitting instructions to display the set of personalized query suggestions to the user.

20. The computer readable medium of claim 19, wherein operations further comprise determining a rank order of personalized query suggestions in the set of personalized query suggestions, the personalized query suggestions being displayed in the rank order.

21. The computer readable medium of claim 20, wherein is the rank order is determined based on at least one of a relevance, frequency of use of services, and user content associated with services.

22. The computer readable medium of claim 20, wherein the rank order is based on types of query suggestions in the set of personalized query suggestions.

23. The computer readable medium of claim 19, wherein each of the one or more content-based query suggestions is associated with a computer-implemented service of the one or more computer-implemented services, with which the user has a level of engagement that exceeds a threshold level of engagement.

24. The computer readable medium of claim 19, wherein operations further comprise receiving a selection of a query suggestion from the set of personalized query suggestions and, in response, retrieving one or more search results that are responsive to the query suggestion.

25. The computer readable medium of claim 24, wherein operations further comprise:

identifying the query suggestion as a highest ranking query suggestion, wherein the selection is an automatic selection in response to the query suggestion being the highest ranking query suggestion; and

transmitting instructions to display one or more search results associated with the highest ranking query suggestion as preliminary search results.

26. The computer readable medium of claim 19, wherein the set of personalized query suggestions further comprises one or more history-based query suggestions, each history-based query suggestion reflecting a query previously submitted by the user.

27. The computer readable medium of claim 19, wherein the one or more content-based query suggestions comprise at least one of content generated by the user within one or more computer-implemented services, content received by the user within the one or more computer-implemented services, and indicating use by the user of the one or more computer-implemented services.