CONTEXTUAL SUGGESTIONS FROM USER HISTORY

• US 20180018331A1
• Filed: 07/12/2016
• Published: 01/18/2018
• Est. Priority Date: 07/12/2016
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Kesamreddy, Venkata Pavan Kumar
• Application Number:
  US15/208,026
• Publication Number:
  US 20180018331A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Non-limiting examples of the present disclosure describe pattern recognition determined based on evaluation of contexts associated with a user history of a user. Input may be received from a processing device of a user. A plurality of contexts associated with user history data of the user history may be evaluated. In examples, the evaluating comprises: generating, for each of the plurality of contexts, a score based on: at least one time period of the user history that is associated with a searching of a context and a frequency of searching for the context within the at least one time period. The evaluating may further comprise ranking the plurality of contexts based on the score corresponding with each of the plurality of contexts. One or more contextual suggestions may be generated and output for the received input based on the ranked plurality of contexts.

Claims

1. A method comprising:

receiving input from a processing device of a user;

evaluating a plurality of contexts associated with a user history of the user, wherein the evaluating comprises;

generating, for each of the plurality of contexts, a score based on;

at least one time period of the user history that is associated with a searching of a context, and a frequency of searching for the context within the at least one time period,

ranking the plurality of contexts based on the score corresponding with each of the plurality of contexts; and

outputting one or more contextual suggestions for the received input based on the ranked plurality of contexts.

2. The method according to claim 1, wherein a first weightage is assigned to the at least one time period and a second weightage is assigned to the context based on the frequency of searching for the context within the at least one time period, and wherein the generating generates the score for the context based on a processing operation using the first weightage and the second weightage.

3. The method according to claim 1, wherein the evaluating of the plurality of contexts further comprises:

identifying one or more of the plurality of contexts within the at least one time period.

4. The method according to claim 1, wherein the outputting further comprises outputting one or more auto-complete suggestions for the received input based on the ranked plurality of contexts.

5. The method according to claim 1, wherein the outputting further comprises outputting one or more selected from a group consisting of:

spelling suggestions and grammatical suggestions.

6. The method according to claim 1, wherein the outputting further comprises outputting one or more translational suggestions for voice to text processing of the received input.

7. The method according to claim 1, further comprising creating targeted content for the user based on the one or more contextual suggestions, and displaying the targeted content using the processing device of the user.

8. The method according to claim 1, wherein the outputting further comprises displaying the one or more contextual suggestions using the processing device of the user.

9. A system comprising:

at least one processor; and

a memory operatively connected with the at least one processor storing computer-executable instructions that, when executed by the at least one processor, causes the at least one processor to execute a method that comprises;

receiving input from a processing device of a user,

evaluating a plurality of contexts associated with a user history of the user, wherein the evaluating comprises;

generating, for each of the plurality of contexts, a score based on;

at least one time period of the user history that is associated with a searching of a context, and a frequency of searching for the context within the at least one time period,

ranking the plurality of contexts based on the score corresponding with each of the plurality of contexts, and

outputting one or more contextual suggestions for the received input based on the ranked plurality of contexts.

10. The system according to claim 9, wherein a first weightage is assigned to the at least one time period and a second weightage is assigned to the context based on the frequency of searching for the context within the at least one time period, and wherein the generating generates the score for the context based on a processing operation using the first weightage and the second weightage.

11. The system according to claim 9, wherein the evaluating of the plurality of contexts further comprises:

identifying one or more of the plurality of contexts within the at least one time period.

12. The system according to claim 9, wherein the outputting further comprises outputting one or more auto-complete suggestions for the received input based on the ranked plurality of contexts.

13. The system according to claim 9, wherein the outputting further comprises outputting one or more selected from a group consisting of:

spelling suggestions and grammatical suggestions.

14. The system according to claim 9, wherein the outputting further comprises outputting one or more translational suggestions for voice to text processing of the received input.

15. The system according to claim 9, wherein the method further comprises:

creating targeted content for the user based on the one or more contextual suggestions, and displaying the targeted content using the processing device of the user.

16. The system according to claim 9, wherein the outputting further comprises displaying the one or more contextual suggestions using the processing device of the user.

17. A computer-readable storage medium that comprises computer-executable instructions, wherein the computer-executable instructions, when executed by a computing device, cause the computing device to execute a method comprising:

receiving input from a processing device of a user;

evaluating a plurality of contexts associated with user history of the user, wherein the evaluating comprises;

generating, for each of the plurality of contexts, a score based on;

at least one time period of the user history that is associated with a searching of a context, and a frequency of searching for the context within the at least one time period,

ranking the plurality of contexts based on the score corresponding with each of the plurality of contexts; and

outputting one or more contextual suggestions for the received input based on the ranked plurality of contexts.

18. The computer-readable storage medium according to claim 17, wherein a first weightage is assigned to the at least one time period and a second weightage is assigned to the context based on the frequency of searching for the context within the at least one time period, and wherein the generating generates the score for the context based on a processing operation using the first weightage and the second weightage.

19. The computer-readable storage medium according to claim 17, wherein the outputting further comprises at least one selected from a group consisting of:

outputting one or more auto-complete suggestions for the received input, outputting one or more spelling suggestions for the received input, outputting one or more grammatical suggestions for the received input, outputting one or more translational suggestions for the received input, and outputting targeted content for the user.

20. The computer-readable storage medium according to claim 17, wherein the outputting further comprises displaying the one or more contextual suggestions through the processing device of the user.