PERSONALIZED ENTITY PREFERENCES MODEL AND NOTIFICATIONS

• US 20140372423A1
• Filed: 06/13/2013
• Published: 12/18/2014
• Est. Priority Date: 06/13/2013
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Majumder, Rangan, Tropin, Kyrylo, Keskinpala, Trker, Rekhi, Karan Singh
• Application Number:
  US13/916,853
• Publication Number:
  US 20140372423A1
• Time in Patent Office: Days
• US Class Current: 707/725
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06F 16/9038 Presentation of query results
• 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

Abstract

Architecture that performs the automatic modeling of user preferences for entities (a personal entity preference model) based on user'"'"'s actions such as search history and temporal search behavior to determine content on the web relevant and of interest to a given user at any given time. Explicit and implicit user responses (e.g., notification clicks, ignore, dismiss, unsubscribe, notification dwell) are used to update the model of user entity preferences. The user entity preference model is used to order notifications based on predicted relevance. Additionally, the user personal entity preference model and implicit responses of user are used to decide timing and frequency of notifications.

Claims

1. A system, comprising:

a personal entity preference model of a user accessed according to user notification criteria;

a selection component that selects content for each of the entities obtained from a search based on predicted relevance to the user notification criteria;

a notification component that sends the content to the user as notifications for presentation of the content; and

a microprocessor that executes computer-executable instructions associated with at least one of the preference model, the search component, or notification component.

2. The system of claim 1, wherein the personal entity preference model is automatically created based on user search history and temporal search behavior of the user.

3. The system of claim 1, wherein the notification component orders the notifications based on the predicted relevance.

4. The system of claim 1, wherein the notification component computes timing and frequency of the notifications based on the personal entity preference model and responses of the user.

5. The system of claim 1, wherein the personal entity preference model is updated based on user responses to content of the notifications.

6. The system of claim 1, wherein the notification component sends the notifications for automatic viewing in a user interface of a user device.

7. The system of claim 1, wherein the personal entity preference model enables identification of a specific entity to track.

8. A method, comprising acts of:

selecting entities of a personal entity preference model of a user based on user notification criteria;

searching for content related to the entities;

selecting content for each of the entities based on predicted relevance to the user notification criteria; and

sending the content to the user as notifications.

9. The method of claim 8, further comprising ordering the notifications based on the personal entity preference model.

10. The method of claim 8, further comprising automatically creating the personal entity preference model based on search history and temporal search behavior of the user.

11. The method of claim 8, further comprising computing timing and frequency of the notifications to the user based on the personal entity preference model.

12. The method of claim 8, further comprising updating the personal entity preference model using explicit and implicit user responses to same or different entities.

13. The method of claim 8, further comprising updating the personal entity preference model based on a user response to a notification.

14. The method of claim 8, further comprising automatically linking to the content for the entities on the user device via the notifications.

15. The method of claim 8, further comprising automatically presenting the content for the entities on the user device.

16. A computer-readable medium comprising computer-executable instructions that when executed by a processor, cause the processor to perform acts of:

selecting entities of a personal entity preference model of a user based on user notification criteria;

searching for content related to the entities;

selecting content for each of the entities based on predicted relevance to the user notification criteria;

computing timing and frequency of notifications to be sent to the user based on the personal entity preference model;

sending the content to the user as the notifications for presentation in a user interface based on the timing and frequency; and

presenting the notifications in an ordered manner.

17. The computer-readable medium of claim 16, further comprising automatically linking to the content for the entities via the notifications or automatically presenting the content for the entities on the user device.

18. The computer-readable medium of claim 16, further comprising automatically creating the personal entity preference model based on search history and temporal search behavior of the user.

19. The computer-readable medium of claim 16, further comprising updating the personal entity preference model using explicit and implicit user responses to same or different entities.

20. The computer-readable medium of claim 16, further comprising updating the personal entity preference model based on a user response to content of a notification.