Abstract: Recommender systems continuously strive to recommend items that the users potentially like accurately. Most recommender systems assume that latent user preferences and item features are ...
Abstract: Event-based Social Networks(EBSNs) which combine online interactions and offline events among users have experienced increased popularity and rapid growth recently. In EBSNs, event ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback