Mobile data traffic is currently growing exponentially and these rapid increases have caused
the backhaul data rate requirements to become the major bottleneck to reducing costs and …

With the growth of online information, varying personalization drifts and volatile behaviors of
internet users, recommender systems are effective tools for information filtering to overcome …

Social relations are often used to improve recommendation quality when user-item
interaction data is sparse in recommender systems. Most existing social recommendation …

With the growing importance of green wireless communications, point-of-interest (POI)
scheduling in the mobile social network (MSN) environment has become important in …

Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …

Traffic speed prediction is known as an important but challenging problem. In this paper, we
propose a novel model, called LC-RNN, to achieve more accurate traffic speed prediction …

With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-
based social networks (LBSNs), location-based recommendation has become an important …

As social animals, attending group activities is an indispensable part in people's daily social
life, and it is an important task for recommender systems to suggest satisfying activities to a …

Heterogenous information network embedding aims to embed heterogenous information
networks (HINs) into low dimensional spaces, in which each vertex is represented as a low …

Point-of-interest (POI) recommendation has become an important way to help people
discover attractive and interesting places, especially when they travel out of town. However …