MICROAPP FUNCTIONALITY RECOMMENDATIONS WITH CROSS-APPLICATION ACTIVITY CORRELATION

A method for generating microapp recommendations comprises receiving observational data that characterizes interactions between users and applications. The method further comprises defining a set of correlation trees based on the received observational data. Each correlation tree in the set represen...

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Bibliographic Details
Main Authors Chu, Xiaolu, Hu, Dan
Format Patent
LanguageEnglish
Published 30.09.2021
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Summary:A method for generating microapp recommendations comprises receiving observational data that characterizes interactions between users and applications. The method further comprises defining a set of correlation trees based on the received observational data. Each correlation tree in the set represents a sequence of interactions between one of the users and one or more of the applications. The set includes a first quantity of correlation trees. The method further comprises identifying a subset of similar correlation trees, each of which is included in the set. The subset includes a second quantity of correlation trees that is less than the first quantity. The method further comprises making a determination that the second quantity is greater than a threshold quantity. The method further comprises, in response to making the determination, generating a microapp recommendation based on the sequence of interactions represented by a correlation tree that is representative of the subset.
Bibliography:Application Number: US202016862781