USER MODELS FOR IMPLICIT INTENTS IN SEARCH

• US 20150012532A1
• Filed: 07/02/2013
• Published: 01/08/2015
• Est. Priority Date: 07/02/2013
• Status: Abandoned Application

• Current Assignee: Google Inc. (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Heymans, Maureen, Shukla, Ashutosh, Rajamani, Harish, Horling, Bryan C.
• Application Number:
  US13/933,209
• Publication Number:
  US 20150012532A1
• Time in Patent Office: Days
• US Class Current: 707/736
• CPC Class Codes: G06F 16/93 Document management systems
• 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 plurality of documents, the plurality of documents being associated with a user of a plurality of users and having been generated using a plurality of computer-implemented services, determining information from the plurality of documents that is of potential interest to the user, and providing a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used, wherein the at least one context is based on information determined from the document

Claims

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

receiving, by the one or more processors, a plurality of documents, the plurality of documents being associated with a user of a plurality of users and having been generated using a plurality of computer-implemented services;

determining, by the one or more processors, information from the plurality of documents that is of potential interest to the user; and

providing, by the one or more processors, a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used, wherein the at least one context is based on information determined from the document.

2. The method of claim 1, further comprising:

receiving, by the one or more processors, an event that corresponds to user activity performed by the user on at least one of the computer-implemented services of the plurality of computer-implemented services; and

updating, by the one or more processors, the user model based on the event.

3. The method of claim 2, wherein updating comprises one of adding and deleting at least one n-gram in the user model, the at least one n-gram corresponding to the event.

4. The method of claim 3, wherein deleting the at least one n-gram occurs in response to deleting an electronic document in a computer-implemented service.

5. The method of claim 1, wherein the plurality of computer-implemented services comprise two or more of a social networking service, a calendar service, an electronic messaging service, a chat service, a contact management service, and an electronic document sharing service.

6. The method of claim 1, further comprising determining that a freshness associated with an n-gram has exceeded a threshold freshness and, in response, removing the n-gram from the user model, the freshness being provided in terms of time.

7. The method of claim 1, wherein at least one n-gram is associated with a plurality of annotations.

8. A system comprising:

one or more data sources; and

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

receiving a plurality of documents, the plurality of documents being associated with a user of a plurality of users and having been generated using a plurality of computer-implemented services;

determining information from the plurality of documents that is of potential interest to the user; and

providing a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used, wherein the at least one context is based on information determined from the document.

9. The system of claim 8, wherein operations further comprise:

receiving an event that corresponds to user activity performed by the user on at least one of the computer-implemented services of the plurality of computer-implemented services; and

updating the user model based on the event.

10. The system of claim 9, wherein updating comprises one of adding and deleting at least one n-gram in the user model, the at least one n-gram corresponding to the event.

11. The system of claim 10, wherein deleting the at least one n-gram occurs in response to deleting an electronic document in a computer-implemented service.

12. The system of claim 8, wherein the plurality of computer-implemented services comprise two or more of a social networking service, a calendar service, an electronic messaging service, a chat service, a contact management service, and an electronic document sharing service.

13. The system of claim 8, wherein operations further comprise determining that a freshness associated with an n-gram has exceeded a threshold freshness and, in response, removing the n-gram from the user model, the freshness being provided in terms of time.

14. The system of claim 8, wherein at least one n-gram is associated with a plurality of annotations.

15. 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 plurality of documents, the plurality of documents being associated with a user of a plurality of users and having been generated using a plurality of computer-implemented services;

determining information from the plurality of documents that is of potential interest to the user; and

providing a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used, wherein the at least one context is based on information determined from the document.

16. The computer readable medium of claim 15, wherein operations further comprise:

receiving an event that corresponds to user activity performed by the user on at least one of the computer-implemented services of the plurality of computer-implemented services; and

updating the user model based on the event.

17. The computer readable medium of claim 16, wherein updating comprises one of adding and deleting at least one n-gram in the user model, the at least one n-gram corresponding to the event.

18. The computer readable medium of claim 17, wherein deleting the at least one n-gram occurs in response to deleting an electronic document in a computer-implemented service.

19. The computer readable medium of claim 15, wherein the plurality of computer-implemented services comprise two or more of a social networking service, a calendar service, an electronic messaging service, a chat service, a contact management service, and an electronic document sharing service.

20. The computer readable medium of claim 15, wherein operations further comprise determining that a freshness associated with an n-gram has exceeded a threshold freshness and, in response, removing the n-gram from the user model, the freshness being provided in terms of time.

21. The computer readable medium of claim 15, wherein at least one n-gram is associated with a plurality of annotations.