Invention Grant
- Patent Title: Systems and methods for recommending software based on user similarity
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Application No.: US15472474Application Date: 2017-03-29
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Publication No.: US10672056B2Publication Date: 2020-06-02
- Inventor: Denis Shtyrov , Thomas Salomon
- Applicant: Avast Software s.r.o.
- Applicant Address: CZ Prague
- Assignee: Avast Software s.r.o.
- Current Assignee: Avast Software s.r.o.
- Current Assignee Address: CZ Prague
- Agency: Erickson Kernell IP, LLC
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/06

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.
Public/Granted literature
- US20170287048A1 SYSTEMS AND METHODS FOR RECOMMENDING SOFTWARE BASED ON USER SIMILARITY Public/Granted day:2017-10-05
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