Recommender System for Social Connectivity

Abstract: A typical problem of growing social connectivity on social media platforms is the accurate estimation of the probability of acceptance of a request to connect with an individual. A prevalent practice involves the identification of the “friends” of a particular user in a group. The current paper proposes a weighted average metric-based approach to building a recommender system for the given purpose. The weighted average graph search-based approach is simulated and the results examined in the paper.

Keywords: social connectivity, social media, weighed average metric, recommender system, graph search