Systems and methods for recommending software based on user similarity
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United States of America Patent
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Jun 2, 2020
Grant Date -
Oct 5, 2017
app pub date -
Mar 29, 2017
filing date -
Mar 31, 2016
priority date (Note) -
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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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