The choice of the loss function is critical in extreme multi-label learning where the objective
is to annotate each data point with the most relevant subset of labels from an extremely large …

With the growing prosperity of the Web API economy, mashup-oriented API recommendation
has become an important requirement. Various methods based on different principles of …

Recently, social network has been paid more and more attention by people. Inaccurate
community detection in social network can provide better product designs, accurate …

Social media systems provide ever-growing huge volumes of information for dissemination
and communication among communities of users, while recommender systems aim to …

Although there is considerable disagreement about the details, community detection in
social networks requires finding groups of nodes that are similar to one another, and …

Collaborative tagging systems have been popular on the Web. However, information
overload results in the increasing need for recommender services from users, and thus item …

Context-aware recommender systems generate more relevant recommendations by
adapting them to the specific contextual situation of the user and have become one of the …

As we all know, users and item-providers are two main parties of participants in
recommender systems. However, most existing research efforts on recommendation were …

Recommender systems are becoming increasingly important and prevalent because of the
ability of solving information overload. In recent years, researchers are paying increasing …

Recommendation techniques greatly promote the development of online service in the
interconnection environment. Personalized recommendation has attracted researchers' …