Context-influenced application recommendations

US9230276B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9230276-B2
Application numberUS-201113248991-A
CountryUS
Kind codeB2
Filing dateSep 29, 2011
Priority dateJun 18, 2010
Publication dateJan 5, 2016
Grant dateJan 5, 2016

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed is: 1. A system comprising: one or more computers; and one or more computer-readable media 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 application acquisition data associated with a user of a mobile device; receiving aggregated location data that references two or more locations of the mobile device at two or more respective times; inferring demographic information associated with the user based on i) the aggregated location data and ii) the application acquisition data; identifying one or more first mobile device applications available from an online application marketplace based on the inferred demographic information, the one or more first mobile device applications executable by the mobile device; receiving particular location data that references a present location of the mobile device; identifying one or more second mobile device applications available from the online application marketplace, the one or more second applications i) previously downloaded by one or more other users when the one or more other users were located in a region that includes the present location and ii) executable by the mobile device; identifying an intersection of the one or more first mobile device applications and the one or more second mobile device applications to select one or more particular mobile device applications such that the one or more particular mobile device applications are based on both the inferred demographic information associated with the user and the particular location data of the mobile device; generating a set of identifiers associated with a recommendation, wherein the recommendation identifies the one or more particular mobile device applications as applications that the user of the mobile device is likely to be interested in purchasing or downloading; transmitting, through a computer-implemented communication network, the set of identifiers to the mobile device; and receiving a selection of a particular identifier of the set of identifiers to obtain at least one of the one or more particular mobile device applications by the user from an application marketplace provided by a server in communication with the mobile device. 2. The system of claim 1 , wherein receiving particular location data that references the present location of the 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: filtering the one or more particular mobile device applications based on user profile data associated with the user, wherein the recommendation identifies the one or more filtered mobile device 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 particular mobile device applications further comprises ranking the one or more particular mobile device applications based on category preferences referenced by the user profile data. 5. The system of claim 3 , wherein filtering the one or more particular mobile device applications further comprises excluding one or more mobile device 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 mobile device applications of the one or more particular mobile device applications that correlate to mobile device applications that are already installed on the mobile device, wherein selecting the one or more mobile device applications further comprises selecting, from among the one or more selected mobile device applications that correlate to mobile device applications that are already installed on the mobile device, one or more mobile device applications that, for other users in the present location, have an aggregated popularity score above a predetermined threshold. 7. The system of claim 1 , wherein: the operations further comprise: selecting one or more mobile device applications of the one or more particular mobile device applications that, for other users at or near the present 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 the one or more particular mobile device 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 mobile device applications of the one or more particular mobile device applications that are relevant to the present location and the characteristic, configuration, or capability. 10. The system of claim 1 , wherein: the operations further comprise determining, when respective scores for the one or more particular mobile device applications exceed a threshold, that the one or more particular mobile device applications are mobile device applications that the user is likely to be interested in purchasing or downloading. 11. One or more computer storage media 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 application acquisition data associated with a user of a mobile device; receiving aggregated location data that references two or more locations of the mobile device at two or more respective times; inferring demographic information associated with the user based on i) the aggregated location data and ii) the application acquisition data; identifying one or more first mobile device applications available from an online application marketplace based on the inferred demographic information, the one or more first mobile device applications executable by the mobile device; receiving particular location data that references a present location of the mobile device; identifying one or more second mobile device applications available from the online application marketplace, the one or more second applications i) previously downloaded by one or more other users when the one or more other users were located in a region that includes the present location and ii) executable by the mobile device; identifying an intersection of the one or more first mobile device applications and the one or more second mobile device applications to select one or more particular mobile device applications such that the one or more particular mobile device applications are based on both the inferred demographic information associated with the user and the particular location data of the mobile device; generating a set of identifiers associated with a recommendation, wherein the recommendation identifies the one or more particular mobile device applications as applications that the user of the mobile device is likely to be interested in purchasing or downloading; transmitting, through a computer-implemented communication network, the set of identifiers to the mobile device; and receiving a selection of a particular identifier of the set of identifiers to obtain at least one of the one or more particular mobile device applications by the user from an application marketplace provided by a server in communication with the mobile device. 12. The computer storage media of claim 11 , wherein rec

Assignees

Inventors

Classifications

  • Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences · CPC title

  • Targeted advertisements · CPC title

  • Rating or review of business operators or products · CPC title

  • utilising user interfaces specially adapted for shopping · CPC title

  • Marketing; Price estimation or determination; Fundraising · CPC title

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Frequently asked questions

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What does patent US9230276B2 cover?
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…
Who is the assignee on this patent?
Mehta Bhaskar, Sonntag Christian, Mahaniok Ihar, and 1 more
What technology area does this patent fall under?
Primary CPC classification G06Q30/0631. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 05 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).