The recommendation system is an important and widely used technology in the era of Big
Data. Current methods have fused side information into it to alleviate the sparsity problem …

With the development of e-commerce, shop** on-line is becoming more and more
popular. The explosion of reviews have led to a serious problem, information overloading …

Internet users would like to obtain interesting location information for a travel. With the rapid
development of social media, many kinds of location recommender systems are proposed in …

The recommendation system is fundamental technology of the internet industry intended to
solve the information overload problem in the big data era. Top-k recommendation is an …

In recent years, we have witnessed a flourish of social review websites. Internet users can
easily share their experiences on some products and services with their friends. Therefore …

With the popularity of social platforms, emoji appears and becomes extremely popular with a
large number of users. It expresses more beyond plaintexts and makes the content more …

Personalized recommendation has received a lot of attention as a highly practical research
topic. However, existing recommender systems provide the recommendations with a generic …

With the advent and popularity of social network, more and more people like to share their
experience in social network. However, network information is growing exponentially which …

With the increasing popularity of Location-Based Social Networks (LBSNs), a significant
volume of check-in data of users has been generated. Such massive data brings difficulties …

Context information has become a significant asset to optimize the value obtained from
information systems. Location is an important type of context information that refers to the …