Machine learning methods have achieved good performance and been widely applied in
various real-world applications. They can learn the model adaptively and be better fit for …

Nowadays, in information systems such as web search engines and databases, diversity is
becoming increasingly essential and getting more and more attention for improving users' …

Extractive document summarization aims to conclude given documents by extracting some
salient sentences. Often, it faces two challenges: 1) how to model the information …

We consider the problem of generating diverse, personalized recommendations such that a
small set of recommended items covers a broad range of the user's interests. We represent …

Information diffusion in social networks is emerging as a promising solution to successful
viral marketing, which relies on the effective and efficient identification of a set of nodes with …

In recommending to another individual an item that one loves, accuracy is important,
however in most cases, focusing only on accuracy generates less satisfactory …

For a long time, PageRank has been widely used for authority computation and has been
adopted as a solid baseline for evaluating social influence related applications. However …

Social network analysis (SNA) has been a research focus in multiple disciplines for
decades, including sociology, healthcare, business management, etc. Traditional SNA …

Literature search is one of the most important steps of academic research. With more than
100,000 papers published each year just in computer science, performing a complete …

Performing literature survey for scholarly activities has become a challenging and time
consuming task due to the rapid growth in the number of scientific articles. Thus, automatic …