SYSTEMS AND METHODS FOR RECOMMENDING SOFTWARE BASED ON USER SIMILARITY

    公开(公告)号:US20170287048A1

    公开(公告)日:2017-10-05

    申请号:US15472474

    申请日:2017-03-29

    Abstract: Systems and methods for determining software recommendations for a user. A first application list of applications installed on a user's computer is received. A distribution score is determined for each application in the first application list. A set of least distributed applications is determined based on the distribution score. A similarity score is determined for each user in a set of users having one or more applications of the set of least distributed applications installed on their respective systems. A second list of applications is determined based on applications installed by users in the set of users having a similarity score above a threshold. Recommendations for applications in the first list of applications are determined based, at least in part, on typicality scores for the applications.

    Systems and methods for recommending software based on user similarity

    公开(公告)号:US10672056B2

    公开(公告)日:2020-06-02

    申请号:US15472474

    申请日:2017-03-29

    Abstract: Systems and methods for determining software recommendations for a user. A first application list of applications installed on a user's computer is received. A distribution score is determined for each application in the first application list. A set of least distributed applications is determined based on the distribution score. A similarity score is determined for each user in a set of users having one or more applications of the set of least distributed applications installed on their respective systems. A second list of applications is determined based on applications installed by users in the set of users having a similarity score above a threshold. Recommendations for applications in the first list of applications are determined based, at least in part, on typicality scores for the applications.

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