Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

Recommendation as a social process plays an important role in many applications as WWW
has created the universe as a global village, with an explosive growth of enormous …

Recommender systems are an important part of the information and e-commerce ecosystem.
They represent a powerful method for enabling users to filter through large information and …

Recommender systems or recommendation systems are a subset of information filtering
system that used to anticipate the'evaluation'or'preference'that user would feed to an item. In …

In the era of internet access, recommender systems try to alleviate the difficulty that
consumers face while trying to find items (eg, services, products, or information) that better …

This paper presents an overview of the field of recommender systems and describes the
current generation of recommendation methods that are usually classified into the following …

Recommender systems apply data mining techniques and prediction algorithms to predict
users' interest on information, products and services among the tremendous amount of …

Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Recommender systems are typically provided as Web 2.0 services and are part of the range
of applications that give support to large-scale social networks, enabling on-line …