In this paper we investigate how much various classes of Web spam features, some
requiring very high computational effort, add to the classification accuracy. We realize that …

Temporal Analysis for Web Spam Detection: An Overview∗ Page 1 Temporal Analysis for Web
Spam Detection: An Overview∗ Miklós Erdélyi1,2 András A. Benczúr1 1Institute for Computer …

Robust statistical learning based web spam detection system often requires large amounts
of labeled training data. However, labeled samples are more difficult, expensive and time …

Web content quality measurement is crucial to various web content processing applications.
This paper will explore multi-scale features which may affect the quality of a host, and …

In this paper we improve trust, bias and factuality classification over Web data on the domain
level. Unlike the majority of literature in this area that aims at extracting opinion and handling …

Traditional Web spam classifiers use only labeled data (feature/label pairs) to train. Labeled
spam instances, however, are very difficult, expensive, or time consuming to obtain, as they …

In this paper we propose new tasks for a possible future Web Spam Challenge motivated by
the needs of the archival community. The Web archival community consists of several …

In this article we give a comprehensive overview of features devised for web spam detection
and investigate how much various classes, some requiring very high computational effort …

While Web archive quality is endangered by Web spam, a side effect of the high commercial
value of top-ranked search-engine results, so far Web spam filtering technologies are rarely …

The study of complex networks has been one of the most active fields in science in recent
decades. Spectral properties of networks (or graphs that represent them) are of fundamental …