Systems and methods for recommending software based on user similarity

A system for providing software selection recommendations comprising:

• a user computing device including a first application list of a plurality of applications installed on the user's computer device;
• a recommendation database device storing an application distribution index;
• a recommendation server, coupled to the user computing device and the recommendation database device and including a recommendation engine which receives the first application list and determines a distribution score for each application in the first application list based at least in part on the application distribution index retrieved from the recommendation database device, determines a set of least distributed applications based at least in part on the distribution scores, and determines set of users having one or more applications of the set of least distributed applications installed on a respective system of each user of the set of users;
• for each user in the set of users, the recommendation server configured to determine a similarity score for each user, and to determine a second list of applications based at least in part on applications installed by users of the set of users having a similarity score above a threshold;
• and
• for at least one application in the first list of applications, the recommendation server configured to determine a recommendation for at least one application based, at least in part, on a typicality score for the at least one application.