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...
Saved in:
Main Authors | , |
---|---|
Format | Patent |
Language | English |
Published |
30.09.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |