US 8,914,399 B1Granted

Personalized recommendations based on item usage

AssigneeAmazon Technologies, Inc.

InventorsAmeesh Paleja, Mekka C. Okereke, Matthew A. Jones

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Abstract

This disclosure describes systems and associated processes for generating recommendations for users based on usage, among other things. These systems and processes are described in the context of an interactive computing system that enables users to download applications for mobile devices (such as phones) or for other computing devices. Users' interactions with applications once they are downloaded can be observed and tracked, with such usage data being collected and provided to the interactive computing system. The interactive computing system can include a recommendation system or service that processes the usage data from a plurality of users to detect usage patterns. Using these usage patterns, among possibly other data, the recommendation system can recommend applications to users for download.

Claims17

Dependent claims

A method of recommending personalized computer applications to users, the method comprising:

accessing usage data associated with a mobile computing device of a user, the usage data reflecting a degree of usage by the user of a plurality of user applications installed on the mobile computing device;
identifying related applications that are related to the user applications in a usage associations data set, the usage associations data set comprising a graph having nodes that represent the related applications and weighted edges having first weights that are based at least on a degree of similar usage of the related applications by a plurality of users;
weighting the related applications with second weights that are based at least in part on the degree of usage by the user of each of the user applications to which the related applications are related in the usage associations data set, wherein said weighting causes the related applications that are related to the user applications used more frequently by the user to have greater second weights than the related applications related to the user applications used less frequently by the user;
and
selecting a subset of the related applications for presentation as recommendations to the user based at least in part on the second weights;
wherein at least said identifying is performed by one or more processors.

3 more elements

A system for recommending personalized computer applications to users, the system comprising:

a recommendation service comprising computer hardware, the recommendation service comprising a usage recommender configured to:
access usage data associated with a mobile computing device of a user, the usage data reflecting a degree of usage by the user of a plurality of user applications installed on the mobile computing device;
identify, by a computing device, related applications that are related to the user applications in a usage associations data set, the usage associations data set comprising a graph having nodes that represent the related applications and weighted edges having first weights that are based at least on a degree of similar usage of the related applications by a plurality of users;
weight the related applications with second weights that are based at least in part on the degree of usage by the user of each of the user applications to which the related applications are related in the usage associations data set;
and
select a subset of the related applications for presentation as recommendations to the user based at least in part on the second weights weightings.

3 more elements

Dependencies are inferred from the claim text.

Facts

Application: 13/918,593Filed 14 Jun 2013 · continuation
Priority: 9 Mar 2011
Granted: 16 Dec 2014
Term ends: Not estimatedThe source records don’t support an estimate.

Classification7 codes

G06F 16/24
Of structured data, e.g. relational data: querying
G06F 16/9535
Querying, e.g. by the use of web search engines: search customisation based on user profiles and personalisation
G06Q 30/0635
Managing shopping lists, e.g. compiling or processing purchase lists: replenishment orders; recurring orders
H04L 67/1097
In which an application is distributed across nodes in the network: for distributed storage of data in networks, e.g. transport arrangements for…