With the rapid growth of digital publishing, harvesting, managing, and analyzing scholarly
information have become increasingly challenging. The term Big Scholarly Data is coined …

Modern information retrieval (IR) has come to terms with numerous new media in efforts to
help people find information in increasingly diverse settings. Among these new media are so …

Recommending products to consumers means not only understanding their tastes, but also
understanding their level of experience. For example, it would be a mistake to recommend …

Social network analysis has gained significant attention in recent years, largely due to the
success of online social networking and media-sharing sites, and the consequent …

Searching an organization's document repositories for experts provides a cost effective
solution for the task of expert finding. We present two general strategies to expert searching …

People have looked for experts since before the advent of computers. With advances in
information retrieval technology and the large-scale availability of digital traces of …

In an expert search task, the users' need is to identify people who have relevant expertise to
a topic of interest. An expert search system predicts and ranks the expertise of a set of …

Statistical language models have been successfully applied to many information retrieval
tasks, including expert finding: the process of identifying experts given a particular topic. In …

Concerted research effort since the nineteen fifties has lead to effective methods for retrieval
of relevant documents from homogeneous collections of text, such as newspaper archives …

Finding experts in specified areas is an important task and has attracted much attention in
the information retrieval community. Research on this topic has made significant progress in …