Explainable recommendation attempts to develop models that generate not only high-quality
recommendations but also intuitive explanations. The explanations may either be post-hoc …

The paper summarizes the different characteristics of Web data, the basic components of
Web mining and its different types, and the current state of the art. The reason for …

The explosive growth of the world-wide-web and the emergence of e-commerce has led to
the development of recommender systems---a personalized information filtering technology …

To engage visitors to a Web site at a very early stage (ie, before registration or
authentication), personalization tools must rely primarily on clickstream data captured in …

Memory-based collaborative filtering (CF) has been studied extensively in the literature and
has proven to be successful in various types of personalized recommender systems. In this …

The rapid growth of e-commerce has caused product overload where customers on the Web
are no longer able to effectively choose the products they are exposed to. To overcome the …

Smart learning systems provide relevant learning resources as a personalized bespoke
package for learners based on their pedagogical needs and individual preferences. This …

In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

With the rapid growth of databases in many modern enterprises data mining has become an
increasingly important approach for data analysis. The operations research community has …

We present a study of the automatic classification of web user navigation patterns and
propose a novel approach to classifying user navigation patterns and predicting users' future …