PERFORMING APPLICATION SEARCH BASED ON APPLICATION GAMINESS

• US 20140280098A1
• Filed: 03/17/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Quixey, Inc.
• Inventors: Abbas, Abdelhalim, Glover, Eric
• Application Number:
  US14/216,054
• Publication Number:
  US 20140280098A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

An application search system compensates for game bias in search results using a gaminess value representing the likelihood that an application is a game. The application search system receives a gaminess value for an application from an external source, such as an operator, or automatically determines the gaminess value using a trained computer model. The computer model may be trained based on a supervised training set of data. The gaminess value of an application is used to determine relevance of applications responsive to a search query. In one configuration, the gaminess value is incorporated as a scoring feature by the application search system in a computer-learned relevance search. The gaminess value may be used as a relevance factor even when the search does not indicate a user'"'"'s desire to search for a game.

Claims

1. A computer program product for performing application search, the computer program product comprising a non-transitory computer-readable storage medium storing instructions that when executed cause at least one processor to perform steps comprising:

receiving data from one or more data sources for one or more applications;

determining one or more gaminess values for the one or more applications based at least in part on the received data, wherein a gaminess value indicates the likelihood that an application is a game;

receiving a search query including one or more search terms from a user device;

identifying a consideration set of applications based on the search query from the one or more applications;

generating a result score for each application in the identified set based at least in part on the gaminess value for the application in the identified set;

ranking the identified set of applications based on the relevancy score; and

providing a listing of the ranked set of applications to the user device.

2. The computer program product of claim 1, wherein a gaminess value for an application is a value selected from at least three different gaminess values.

3. The computer program product of claim 1, wherein the provided ranked set of applications includes at least one application that is a game and at least one other application that is not a game.

4. The computer program product of claim 1, wherein applications are excluded from the consideration set based on the gaminess value of the applications.

5. The computer program product of claim 1, wherein the result score is generated based on a set of scoring factors applied by a computer model, wherein the gaminess value is a scoring factor.

6. The computer program product of claim 1, wherein the result score for the application is generated based on a set of scoring factors applied by a computer model, wherein the gaminess value modifies the score result of the computer model.

7. The computer program product of claim 6, wherein a gaminess value above a threshold reduces or boosts the score result generated by the computer model.

8. The computer program product of claim 6, wherein a gaminess value below a threshold reduces or boosts the score result generated by the computer model.

9. The computer program product of claim 1, wherein the gaminess values for the one or more applications is determined based on a trained gaminess computer model.

10. The computer program product of claim 9, wherein the trained gaminess computer model is trained using a supervised training set.

11. A computer-implemented method of generating search results for an application search query, comprising:

accessing, by a processor, an application data store including application records, each application record associated with an application and including a gaminess value indicating the likelihood that the application associated with the application record is a game;

receiving a search query including one or more search terms from a user device;

generating, by the processor, a result score for a plurality of applications based at least in part on the gaminess value associated with the applications in the associated application record.

12. The computer-implemented method of claim 11, further comprising training a computer model configured to receive scoring features describing an application and output a result score;

wherein the scoring features including a gaminess value; and

further wherein generating the result score comprises applying the computer model.

13. The computer-implemented method of claim 11, further comprising training a gaminess computer model to generate a gaminess value, using a training set of application data and target gaminess values, and further generating the gaminess value for an application record by applying the gaminess computer model.

14. The computer-implemented method of claim 13, wherein the target gaminess values are selected by a human operator.

15. The computer-implemented method of claim 13, wherein the target gaminess values are selected based on an average of gaminess selects by a plurality of human operators.

16. The computer-implemented method of claim 13, wherein the target gaminess values are selected based on a dictionary of terms.

17. The computer-implemented method of claim 13, wherein the target gaminess values are determined from a tag or label of the application at a data source or an application marketplace.

18. A computer-implemented method of ordering search results for an application search query, comprising:

accessing, by a processor, an application data store including application records, each application record associated with an application and including a gaminess value indicating the likelihood that the application associated with the application record is a game;

receiving a search query including one or more search terms from a suer device;

generating, by the processor, one or more ranking features for a plurality of applications based at least in part on the gaminess value associated with the applications in the associated application record; and

organizing the consideration set results based on the ranking features.

19. The computer-implemented method of claim 18, wherein organizing the consideration set results comprises clustering the consideration set results based on the gaminess values associated with the applications in the consideration set.

20. The computer-implemented method of claim 18, wherein organizing the consideration set results comprises ranking the consideration set results based on the gaminess values associated with the applications in the consideration set.