Explicit signals personalized search

Patent metadata

Field	Value
Publication number	US-9710546-B2
Application number	US-201414229304-A
Country	US
Kind code	B2
Filing date	Mar 28, 2014
Priority date	Mar 28, 2014
Publication date	Jul 18, 2017
Grant date	Jul 18, 2017

Abstract

Methods, systems, and computer program products are provided that enable users to provide explicit declarations that are used to generate recommendations for the users. An explicit declaration is received from a user of a user device. The explicit declaration is configured to influence a subsequent recommendation. The words of the explicit declaration are processed to generate a record. A recommendation rule is generated based on the generated record. The recommendation rule is executed to generate a recommendation for the user. The generated recommendation is provided to the user.

First claim

What is claimed is:

1. A method in a user device, comprising:
receiving an explicit declaration from a user of the user device in real time without the user device prompting the user, the explicit declaration is configured to influence a subsequent recommendation, the user device recognizing the explicit declaration by an identifier for an intelligent personal assistant of the user device that begins the explicit declaration;
processing the explicit declaration to generate a record;
generating a recommendation rule based on the generated record, the recommendation rule defining a manner in which a corresponding recommendation is provided;
matching the recommendation rule with one or more environmental triggers; and
executing the matching recommendation rule to generate a recommendation for the user.

2. The method of claim 1 , wherein said processing the explicit declaration to generate a record comprises:
performing natural language processing on a series of words of the explicit declaration to extract one or more key features; and
generating the record to include the extracted one or more key features.

3. The method of claim 1 , wherein said executing comprises:
executing the matching recommendation rule to collect additional data toward subsequent generation of the recommendation for the user.

4. The method of claim 1 , wherein the one or more environmental triggers include at least one of a time, a location, a person, an application or service, a request from the user for data, or a request by the user for a recommendation.

5. The method of claim 1 , wherein said executing the matching recommendation rule to generate a recommendation for the user comprises:
issuing a query to generate query results; and

wherein the method further comprises:
providing at least a portion of the query results to the user in the recommendation.

6. The method of claim 1 , wherein the explicit declaration includes a recommendation provided from a person, the method further comprising:
adjusting a status of the person as an influencer on the user based on a reaction by the user to the recommendation provided by the person, a positive reaction by the user being indicated by at least one of the user actioning or liking the recommendation provided by the person, and a positive reaction of the user being indicated by at least one of the user not actioning or indicating a dislike for the recommendation provided by the person.

7. The method of claim 1 , further comprising:
launching a question and answer session with the user in response to the explicit declaration.

8. A recommendation system implemented in at least one computing device, comprising:
a voiced input interface configured to receive an explicit declaration in the form of speech from a user of a computing device in real time without the computing device prompting the user, the explicit declaration includes a series of words and is configured to influence a subsequent recommendation, the computing device recognizing the explicit declaration by an identifier for an intelligent personal assistant of the user device that begins the explicit declaration;
a speech processing module configured to process the series of words of the explicit declaration to generate a record;
a rules generator configured to generate a recommendation rule based on the generated record, the recommendation rule including a logical expression;
a recommendation engine configured to execute the recommendation rule to generate a recommendation for the user, the recommendation rule defining a manner in which a corresponding recommendation is provided; and
an output interface configured to provide the generated recommendation to the user.

9. The recommendation system of claim 8 , wherein the speech processing module is configured to:
perform natural language processing on the series of words of the explicit declaration to extract one or more key features; and
generate the record to include the extracted one or more key features.

10. The recommendation system of claim 8 , wherein the recommendation engine is configured to:
match the recommendation rule with one or more environmental triggers; and
execute the matching recommendation rule to perform at least one of generating the recommendation for the user or collecting additional data toward subsequent generation of the recommendation for the user.

11. The recommendation system of claim 10 , wherein the one or more environmental triggers include at least one of a time, a location, a person, an application or service, a request from the user for data, or a request by the user for a recommendation.

12. The recommendation system of claim 8 , wherein the voiced input interface, the speech processing module, the rules generator, and the recommendation engine are located in a user device of the user.

13. The recommendation system of claim 8 , wherein at least one of the rules generator or the recommendation engine is located at least partially at a server that is separate from a user device to which the user provided the explicit declaration.

14. A computer-readable storage medium comprising computer-executable instructions that, when executed by a processor, perform a method comprising:
receiving an explicit declaration from a user of a user device in real time without the user device prompting the user, the explicit declaration is configured to influence a subsequent recommendation, the user device recognizing the explicit declaration by an identifier for an intelligent personal assistant of the user device that begins the explicit declaration;
processing the explicit declaration to generate a record;
generating a recommendation rule based on the generated record, the recommendation rule defining a manner in which a corresponding recommendation is provided;
matching the recommendation rule with one or more environmental triggers; and
executing the matching recommendation rule to generate a recommendation for the user.

15. The computer-readable storage medium of claim 14 , wherein said executing comprises:
executing the matching recommendation rule to collect additional data toward subsequent generation of the recommendation for the user.

16. The computer-readable storage medium of claim 14 , wherein said executing the matching recommendation rule to generate a recommendation for the user comprises:
issuing a query to generate query results; and
wherein the method further comprises:
providing at least a portion of the query results to the user in the recommendation.

17. The computer-readable storage medium of claim 15 , wherein the explicit declaration includes a recommendation provided from a person, the method further comprising:
adjusting a status of the person as an influencer on the user based on a reaction by the user to the recommendation provided by the person, a positive reaction by the user being indicated by at least one of the user actioning or liking the recommendation provided by the person, and a positive reaction of the user being indicated by at least one of the user not actioning or indicating a dislike for the recommendation provided by the person.

18. The computer-readable storage medium of claim 15 , further comprising:
launching a question and answer session with the user in response to the explicit declaration.

19. The computer-readable storage medium of claim 14 , wherein the one or more environmental triggers include at least one of a time, a location, a person, an application or service, a request from the user

Assignees

• Microsoft Corp
• Microsoft Technology Licensing Llc

Inventors

• Paruchuri Sandeep
• Howard Robert
• Brown Jared Adam
• Hamilton Colleen Elizabeth
• Nash Paul Robert

Classifications

• G06F3/167 Primary

  Audio in a user interface, e.g. using voice commands for navigating, audio feedback · CPC title

• G06Q30/0271 Primary

  Personalized advertisement · CPC title

• G06F17/30684 Primary

  Physics · mapped topic

• G06F17/30867

  Physics · mapped topic

• G06F16/335

  Filtering based on additional data, e.g. user or group profiles (filtering in web context G06F16/9535, G06F16/9536) · CPC title