1. A method for generating a list of recommended applications, comprising: receiving, by an application store server and from a first client device associated with a first user, a search term; determining, by the application store server, a plurality of applications that are associated with the search term; identifying, for at least one of the plurality of applications, a second user associated with a second client device on which the at least one of the plurality of applications is installed; computing, by the application store server and for the second user, a first score, the first score reflecting at least one of a degree of activity of the second user within a social media system or a degree of popularity of the second user within the social media system, the computing including: calculating, for a first category of social media usage data associated with the social media system, an average value of the first category of the social media usage data for a group of users of the social media system; and calculating a first quotient by dividing a value of the first category of the social media usage data associated with the second user by the average value of the first category, wherein the first category of the social media usage data comprises one of a degree of activity of a user within the social media system, a degree of popularity of the user within the social media system, a count of posts by the user within the social media system, a number of followers of the user within the social media system, a number of views of the posts by the user within the social media system, or a re-share of the posts by the user within the social media system; and generating, based on the first score, the list of recommended applications.
3. The method of claim 1 , further comprising: calculating, for a second category of the social media usage data associated with the social media system, an average value of the second category of the social media usage data for the group of users of the social media system; calculating a second quotient by dividing a value of the second category of the social media usage data associated with the second user by the average value of the second category; and calculating a sum of the first quotient and the second quotient.