By the rapid growth of information technology, banks in many parts of the world are trying to
change their traditional methods and try to adapt in to new technologies. One of the most …

In order to build relevant, useful, and effective recommender systems, researchers need to
understand why users come to these systems and how users judge recommendation lists …

The existing information retrieval systems are mostly keyword-based and retrieve relevant
documents or information by matching keywords. Keyword-based search, in spite of its …

This research work is based on the thesis contribution by proposing the goal-based hybrid
filtering approach in e-learning recommender systems (eLearningRecSys). The proposed …

Critical thinking is one of the main goals of higher education to ensure that students are
competent in the future. The growth of information technology and internet access among …

Las nuevas tecnologías aplicadas al turismo son necesarias para ofrecer un valor añadido
al turista. Un caso concreto es la realidad aumentada, que permite desarrollar aplicaciones …

Most recommendation systems are implemented using numerical or categorical data, that is,
traditional data. This type of data can be a limiting factor when used to model complex …

The analysis of a web site based on usage data is an important task as it provides insight
into the organization of the site and its adequacy regarding user needs. This allows the …

Abstract Information filtering is an area of research that develops tools for discriminating
between relevant and irrelevant information. Users first give descriptions about what they …

Recommender systems have become an important tool to cope with the information
overload problem by acquiring data about user behavior. After tracing the user's behavior …