Context-influenced application recommendations

• US 10,467,678 B2
• Filed: 11/28/2016
• Issued: 11/05/2019
• Est. Priority Date: 06/18/2010
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Mehta, Bhaskar, Sonntag, Christian, Mahaniok, Ihar
• Primary Examiner(s): Rosen, Nicholas D
• Application Number:
  US15/361,752
• Publication Number:
  US 20170076353A1
• Time in Patent Office: 1,072 Days
• 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 device coupled to the one or more computers, the computer-readable device having instructions stored thereon that, when executed by the one or more computers, cause the one or more computers to perform operations comprising;

receiving content management data, the content management data including content use data and content acquisition data of one or more content items, each datum of the content use data and the content acquisition data associated with a time-based parameter, wherein the one or more content items comprise digital content;

assigning, based on the respective time-based parameter, a weight to each datum of the content use data and the content acquisition data;

receiving location data that references a current location of a mobile device;

receiving content data associated with the one or more content items that are available from an online marketplace, the content data comprising a category of the one or more content items;

aggregating, based on the respective weight of each datum of the content use data and the content acquisition data, the content management data, the location data, and the content data to provide aggregated data;

selecting, from among multiple different content items that are available from the online marketplace, and based on the aggregated data, one or more particular content items;

generating a set of links associated with a recommendation, wherein the recommendation identifies the one or more particular content items as digital content items that a user is likely to be interested in downloading;

transmitting, to the mobile device via a computer-implemented communication network, the set of links; and

receiving a selection of a particular link of the set of links to obtain at least one of the one or more particular content items from the online marketplace provided by a server that is in communication with the mobile device.

2. The system of claim 1, the operations further comprising receiving, from the mobile device, a request for the recommendation.

3. The system of claim 1, the operations further comprising:

receiving user profile data; and

filtering, based on the user profile data, the one or more particular content items to provide one or more filtered content items,

wherein the recommendation identifies the one or more filtered content items as content items recommended for downloading.

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

5. The system of claim 3, wherein filtering the one or more particular content items further comprises excluding at least one content item (i) that is currently stored on the mobile device, or (ii) that was previously stored on the mobile device and were subsequently removed by the user of the mobile device.

6. The system of claim 1, wherein selecting the one or more particular content items further comprises selecting at least one particular content item that corresponds to content items already stored on the mobile device.

7. The system of claim 1, wherein selecting the one or more particular content items further comprises selecting at least one particular content item that, for other users at or near the current location of the mobile device, has an aggregated popularity score above a predetermined threshold.

8. The system of claim 1, wherein the operations further comprise receiving data that references a characteristic, configuration, or capability of the mobile device, and wherein selecting the one or more particular content items further comprises selecting at least one particular content item based on the current location and on the characteristic, configuration, or capability of the mobile device.

9. The system of claim 1, the operations further comprising:

determining, when respective scores for the one or more particular content items exceed a threshold, that the one or more particular content items are content items that the user is likely to be interested in downloading; and

generating, based on the determining, the set of links associated with the recommendation.

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

receiving content management data, the content management data including content use data and content acquisition data of one or more content items, each datum of the content use data and the content acquisition data associated with a time-based parameter, wherein the one or more content items comprise digital content;

assigning, based on the respective time-based parameter, a weight to each datum of the content use data and the content acquisition data;

receiving location data that references a current location of a mobile device;

receiving content data associated with the one or more content items that are available from an online marketplace, the content data comprising a category of the one or more content items;

aggregating, based on the respective weight of each datum of the content use data and the content acquisition data, the content management data, the location data, and the content data to provide aggregated data;

selecting, from among multiple different content items that are available from the online marketplace, and based on the aggregated data, one or more particular content items;

generating a set of links associated with a recommendation, wherein the recommendation identifies the one or more particular content items as digital content items that a user is likely to be interested in downloading;

transmitting, to the mobile device via a computer-implemented communication network, the set of links; and

receiving a selection of a particular link of the set of links to obtain at least one of the one or more particular content items from the online marketplace provided by a server that is in communication with the mobile device.

11. The computer storage device of claim 10, the operations further comprising receiving, from the mobile device, a request for the recommendation.

12. The computer storage device of claim 10, the operations further comprising:

receiving user profile data; and

filtering, based on the user profile data, the one or more particular content items to provide one or more filtered content items,

wherein the recommendation identifies the one or more filtered content items as content items recommended for downloading.

13. The computer storage device of claim 12, wherein filtering the one or more particular content items further comprises ranking, based on category preferences referenced by the user profile data, the one or more particular content items.

14. The computer storage device of claim 12, wherein filtering the one or more particular content items further comprises excluding at least one content item (i) that is currently stored on the mobile device, or (ii) that was previously stored on the mobile device and were subsequently removed by the user of the mobile device.

15. The computer storage device of claim 10, wherein selecting the one or more particular content items further comprises selecting at least one particular content item that corresponds to content items already stored on the mobile device.

16. The computer storage device of claim 10, wherein selecting the one or more particular content items further comprises selecting at least one particular content item that, for other users at or near the current location of the mobile device, has an aggregated popularity score above a predetermined threshold.

17. The computer storage device of claim 10, wherein the operations further comprise receiving data that references a characteristic, configuration, or capability of the mobile device, and wherein selecting the one or more particular content items further comprises selecting at least one particular content item based on the current location and on the characteristic, configuration, or capability of the mobile device.

18. The computer storage device of claim 10, the operations further comprising determining, when respective scores for the one or more particular content items exceed a threshold, that the one or more particular content items are content items that the user is likely to be interested in downloading, and generating, based on the determining, the set of links associated with the recommendation.

19. A computer-implemented method comprising:

receiving content management data, the content management data including content use data and content acquisition data of one or more content items, each datum of the content use data and the content acquisition data associated with a time-based parameter, wherein the one or more content items comprise digital content;

assigning, based on the respective time-based parameter, a weight to each datum of the content use data and the content acquisition data;

receiving location data that references a current location of a mobile device;

receiving content data associated with the one or more content items that are available from an online marketplace, the content data comprising a category of the one or more content items;

aggregating, based on the respective weight of each datum of the content use data and the content acquisition data, the content management data, the location data, and the content data to provide aggregated data;

selecting, from among multiple different content items that are available from the online marketplace, and based on the aggregated data, one or more particular content items;

generating a set of links associated with a recommendation, wherein the recommendation identifies the one or more particular content items as digital content items that a user is likely to be interested in downloading;

transmitting, to the mobile device via a computer-implemented communication network, the set of links; and

receiving a selection of a particular link of the set of links to obtain at least one of the one or more particular content items from the online marketplace provided by a server that is in communication with the mobile device.

20. The method of claim 19, further comprising receiving, from the mobile device, a request for the recommendation.