Abstract
Social networks have evolved with the combination of geographical data, into location-based social networks (LBSNs). LBSNs give users the opportunity, not only to communicate with each other, but also to share images, videos, locations, and activities. In this paper, we have implemented an online recommender system for LBSNs, called GeoSocialRec, where users can get explanations along with the recommendations on friends, locations and activities. We have conducted a user study, which shows that users tend to prefer their friends opinion more than the overall users' opinion. Moreover, in friend recommendation, the users' favorite explanation style is the one that presents all human chains (i.e. pathways of more than length 2) that connect a person with his candidate friends.