Classification of Web page content is essential to many tasks in Web information retrieval
such as maintaining Web directories and focused crawling. The uncontrolled nature of Web …

We examine the effect of modeling a researcher's past works in recommending scholarly
papers to the researcher. Our hypothesis is that an author's published works constitute a …

Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …

In recent years, due to the booming development of online social networks, fake news for
various commercial and political purposes has been appearing in large numbers and …

Online reviews have become a valuable resource for decision making. However, its
usefulness brings forth a curse‒deceptive opinion spam. In recent years, fake review …

With millions of users tweeting around the world, real time search systems and different
types of mining tools are emerging to allow people tracking the repercussion of events and …

Today's text classifiers inevitably suffer from unintended dataset biases, especially the
document-level label bias and word-level keyword bias, which may hurt models' …

The rapidly growing social network Twitter has been infiltrated by large amount of spam. In
this paper, a spam detection prototype system is proposed to identify suspicious users on …

The quality of web sources has been traditionally evaluated using exogenous signals such
as the hyperlink structure of the graph. We propose a new approach that relies on …

Recently, Twitter has emerged as a popular platform for discovering real-time information on
the Web, such as news stories and people's reaction to them. Like the Web, Twitter has …