Location based recommender system using enhanced random walk model

In this paper, we propose a framework by using both attribute and structural properties to recommend the potential location in social networks. To compute accurate location recommendations in social networks, we suggested a recommender system using improved random walk and evaluated with three real-world data sets such as Brightkite, Gowalla, and Foursquare.