CONTEXT-INFLUENCED APPLICATION RECOMMENDATIONS

• US 20110320307A1
• Filed: 06/18/2010
• Published: 12/29/2011
• Est. Priority Date: 06/18/2010
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Mehta, Bhaskar, Sonntag, Christian, Mahaniok, Ihar
• Granted Patent: US 8,396,759 B2
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0257 User requested
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 30/0641 Shopping interfaces
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for recommending content based on context such as location. In one aspect, a method includes receiving data that references a location of a mobile device, selecting, from among multiple, different applications that are available in an online application marketplace, one or more of the applications that are relevant to the location, and providing, by a recommendation server, a recommendation to the mobile device, where the recommendation identifies the one or more applications as applications that the user is likely to be interested in purchasing or downloading.

Claims

1. A system comprising:

one or more computers; and

a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising;

receiving data that references a location of a mobile device,

selecting, from among multiple, different applications that are available in an online application marketplace, one or more of the applications that are relevant to the location, and

providing a recommendation to the mobile device, wherein the recommendation identifies the one or more applications as applications that the user is likely to be interested in purchasing or downloading.

2. The system of claim 1, wherein receiving data that references a location of a mobile device further comprises receiving a request for the recommendation from the mobile device.

3. The system of claim 1, wherein:

the operations further comprise;

receiving user profile data that corresponds to a user of the mobile device, and

filtering the one or more applications based on the user profile data,

wherein the recommendation identifies the one or more filtered applications as applications that the user is likely to be interested in purchasing or downloading.

4. The system of claim 3, wherein filtering the one or more applications further comprises ranking the one or more applications based on category preferences referenced by the user profile data.

5. The system of claim 3, wherein filtering the one or more applications further comprises excluding the one or more applications that are currently installed on the mobile device, or that have been previously installed on the mobile device and subsequently removed by the user of the mobile device.

6. The system of claim 1, wherein:

the operations further comprise selecting one or more applications that correlate to applications that are already installed on the mobile device, and

selecting one or more applications that are relevant to the location further comprises further comprises selecting, from among the one or more applications that correlate to applications that are already installed on the mobile device, the one or more applications that, for other users in the location, have an aggregated popularity score above a predetermined threshold.

7. The system of claim 1, wherein selecting one or more applications that are relevant to the location further comprises further comprises selecting the one or more applications that, for other users at or near the location, have an aggregated popularity score above a predetermined threshold.

8. The system of claim 1, wherein the recommendation includes one or more links for purchasing or downloading one or more of the applications.

9. The system of claim 1, wherein:

the operations further comprise receiving data that references a characteristic, configuration, or capability of the mobile device; and

selecting one or more applications that are relevant to the location further comprise selecting one or more applications that are relevant to the location and the characteristic, configuration, or capability.

10. The system of claim 1, further comprising determining, when respective scores for the one or more applications exceed a threshold, that the one or more applications are applications that the user is likely to be interested in purchasing or downloading.

11. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

receiving data that references a location of a mobile device;

selecting, from among multiple, different applications that are available in an online application marketplace, one or more of the applications that are relevant to the location; and

providing a recommendation to the mobile device, wherein the recommendation identifies the one or more applications as applications that the user is likely to be interested in purchasing or downloading.

12. The computer storage medium of claim 11, wherein receiving data that references a location of a mobile device further comprises receiving a request for the recommendation from the mobile device.

13. The computer storage medium of claim 11, wherein:

the operations further comprise;

receiving user profile data that corresponds to a user of the mobile device, and

filtering the one or more applications based on the user profile data,

wherein the recommendation identifies the one or more filtered applications as applications that the user is likely to be interested in purchasing or downloading.

14. The computer storage medium of claim 13, wherein filtering the one or more applications further comprises ranking the one or more applications based on category preferences referenced by the user profile data.

15. The computer storage medium of claim 13, wherein filtering the one or more applications further comprises excluding the one or more applications that are currently installed on the mobile device, or that have been previously installed on the mobile device and subsequently removed by the user of the mobile device.

16. The computer storage medium of claim 11, wherein:

the operations further comprise selecting one or more applications that correlate to applications that are already installed on the mobile device, and

selecting one or more applications that are relevant to the location further comprises further comprises selecting, from among the one or more applications that correlate to applications that are already installed on the mobile device, the one or more applications that, for other users in the location, have an aggregated popularity score above a predetermined threshold.

17. The computer storage medium of claim 11, wherein the recommendation includes one or more links for purchasing or downloading one or more of the applications.

18. The computer storage medium of claim 11, wherein:

the operations further comprise receiving data that references a characteristic, configuration, or capability of the mobile device; and

selecting one or more applications that are relevant to the location further comprise selecting one or more applications that are relevant to the location and the characteristic, configuration, or capability.

19. A computer-implemented method comprising:

receiving data that references a location of a mobile device,

selecting, from among multiple, different applications that are available in an online application marketplace, one or more of the applications that are relevant to the location, and

providing, by a recommendation server, a recommendation to the mobile device, wherein the recommendation identifies the one or more applications as applications that the user is likely to be interested in purchasing or downloading.

20. The method of claim 19, wherein receiving data that references a location of a mobile device further comprises receiving a request for the recommendation from the mobile device.