On the Internet, where the number of choices is overwhelming, there is need to filter,
prioritize and efficiently deliver relevant information in order to alleviate the problem of …

Recommender systems represent user preferences for the purpose of suggesting items to
purchase or examine. They have become fundamental applications in electronic commerce …

Many applications of collaborative filtering (CF), such as news item recommendation and
bookmark recommendation, are most naturally thought of as one-class collaborative filtering …

Abstract Recently, Artificial Intelligence techniques have proved useful inhel** users to
handle the large amount of information on the Internet. The idea of personalized search …

Collaborative and content-based filtering are the recommendation techniques most widely
adopted to date. Traditional collaborative approaches compute a similarity value between …

The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …

Las tecnologías de la información y las comunicaciones constituyen un campo muy activo
para ofrecer un valor añadido al turista. Los destinos deben proporcionar herramientas …

This paper describes the overview of recommendation system. The recommendation system
is the sub-part of the data mining field. This is the era of the e-commerce business …

In the previous chapters, we discussed three different classes of recommendation methods.
Collaborative methods use the ratings of a community of users in order to make …

Recommender Systems are widely and successfully applied in e-commerce. Could they be
used for designƒ In this paper, we introduce Pitako 1, a tool that applies the Recommender …