US 2018/0025070 A1 · CLUSTERING APPLICATIONS FOR QUERY PROCESSING

Abstract

Non-limiting examples of the present disclosure describe clustering of application data for identification of equivalent applications across different platforms. Exemplary clusters of application data may be utilized to improve results provided for query processing, among other examples. In one example, a query is received from a computing device. Web results may be accessed for the received query. An exemplary cluster may be identified that comprises application data for equivalent applications of different platforms. The cluster may be identified based on analysis of the web results. A specific application from the cluster may be determined based on the computing device associated with the received query. Data for the specific application may be output. In one example, data for the specific application is transmitted to the computing device. Other examples are also described.

Claims20

Dependent claims

A method comprising:

enumerating applications for an application store of a platform;
parsing application data of other platforms based on an application name of an enumerated application;
determining one or more equivalent applications for the enumerated application;
and
generating a cluster for application equivalence based on the determining, wherein the cluster comprises data for the enumerated application and data for the one or more equivalent applications.

2 more elements

Dependencies are inferred from the claim text.

Clustering applications for query processing

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Clustering applications for query processing

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Abstract

Claims20