Although web personalization has been examined by earlier literature reviews, an updated
analysis of recent advances in the field is needed. The authors extend prior reviews of web …

The importance of recommendation systems for business applications has led to extensive
research efforts to improve the recommendations accuracy as well as to reduce the sparsity …

Automatic recommenders are now omnipresent in e-commerce websites, as selecting and
offering to users products they may be interested in can considerably increase sales …

Collaborative Filtering (CF) is the most popular recommendation technique that uses
preferences of users in a community to make personal recommendations for other users …

Semantic-enhanced recommendation systems are promising approaches to overcome the
sparsity and cold-start problems, which are hard to handle using the conventional …

The emergence of social media allows people to interact with others all over the world.
During interaction, people leave many traces behind that can reveal things about …

Collective intelligence (CI) is an active field of research, which capitalizes the knowledge of
human collectives in order to create, to innovate and to invent. There are two important …

Trust-aware recommender systems have attracted much attention in recent years because of
the popularity of social networks. Some researchers have proposed local trust models to …

This paper describes a software system that allows for discovering nontraditional
educational resources, that is to say, those that go beyond educational content and …

Suppliers of music streaming services are showing an increasing interest for providing users
with reliable personalized recommendations since their practically unlimited offerings make …