Abstract Interest in Opinion Mining has been growing steadily in the last years, mainly
because of its great number of applications and the scientific challenge it poses …

Abstract Recommender or Recommendation Systems (RS) aim to help users dealing with
information overload: finding relevant items in a vast space of resources. Research on RS …

This paper introduces a novel approach for collecting and processing data originated by
web user ocular movements on a web page, which are captured by using an eye-tracking …

There is currently a lot of interest in the concept of learning objects. Learning objects are
discrete units of learning resources based on agreed standards. The idea behind learning …

Throughout the years having knowledge of Web users' interests, navigational actions and
preferences has gained importance due to the objectives of organizations and companies …

Web mining has been traditionally used in different application domains in order to enhance
the content that Web users are accessing. Likewise, Website administrators are interested in …

An important input for web usage mining is web user sessions that must be reconstructed
from web logs (sessionization) when such sessions are not otherwise identified. We present …

Identifying the salient zones from Web interfaces, namely the Website Key Objects, is an
essential part of the personalization process that current Web systems perform to increase …

In adversarial systems, the performance of a classifier decreases after it is deployed, as the
adversary learns to defeat it. Recently, adversarial data mining was introduced as a solution …

An ant colony optimization-based algorithm to predict web usage patterns is presented. Our
methodology incorporates multiple data sources, such as web content and structure, as well …