Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …

The demand for ubiquitous information processing over the Web has called for the
development of context-aware recommender systems capable of dealing with the problems …

Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …

Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …

The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …

The potential benefit of integrating contextual information for recommendation has received
much research attention recently, especially with the ever-increasing interest in mobile …

Recently, methods for generating context-aware recommendations were classified into the
pre-filtering, post-filtering and contextual modeling approaches. Although some of these …

Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …

Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

Recommender systems are important building blocks in many of today's e-commerce
applications including targeted advertising, personalized marketing and information …