Recommender systems (RSs) are systems that produce individualized recommendations as
output or drive the user in a personalized way to interesting or useful objects in a space of …

Recommender systems support users in the identification of interesting products and
services in situations where the amount and complexity of offers outstrips the capability of a …

Recommender systems have been successfully applied to assist decision making by
producing a list of item recommendations tailored to user preferences. Traditional …

Recommender systems (RSs) have undoubtedly played a significant role in addressing the
information overload problem by efficiently filtering and suggesting relevant items to users …

Recommender or recommendation systems are software tools that make useful suggestions
to users, by taking into account their profile, preferences and/or actions during interaction …

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

With the big amount of data that become available on the internet, and with the appearance
of the information overload problem, it is becoming essential to use recommender systems …

One of the prevalent research challenges in the field of recommender system is to do better
user profiling. There are some advanced user profiling techniques found in the literature to …

The explosive growth and variety of information available on the Web and the rapid
introduction of new e-business and social services (buying products, product comparison …

The design of recommender systems (RSs) to support software development encompasses
the fulfillment of different steps, including data preprocessing, choice of the most appropriate …