Over the past two decades, a large amount of research effort has been devoted to
developing algorithms that generate recommendations. The resulting research progress has …

Abstract Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical
ambiguity of language. But while the two tasks are pretty similar, they differ in a fundamental …

Similarity search is an important function in many applications, which usually focuses on
measuring the similarity between objects with the same type. However, in many scenarios …

The effects of social influence and homophily suggest that both network structure and node-
attribute information should inform the tasks of link prediction and node-attribute inference …

For complex and popular software, project teams could receive a large number of bug
reports. It is often tedious and costly to manually assign these bug reports to developers who …

We propose a new algorithm, FAST-PPR, for computing personalized PageRank: given start
node s and target node t in a directed graph, and given a threshold δ, it computes the …

Automatic expert assignment is a common problem encountered in both industry and
academia. For example, for conference program chairs and journal editors, in order to …

Entity Linking is the task of assigning entities from a Knowledge Base to textual mentions of
such entities in a document. State-of-the-art approaches rely on lexical and statistical …

In academia, scientific research achievements would be inconceivable without academic
collaboration and cooperation among researchers. Previous studies have discovered that …

Graph clustering, also known as community detection, is a long-standing problem in data
mining. In recent years, with the proliferation of rich attribute information available for objects …