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 are software tools used to generate and provide suggestions for
items and other entities to the users by exploiting various strategies. Hybrid recommender …

This paper proposes a recommender system to alleviate the cold-start problem that can
estimate user preferences based on only a small number of items. To identify a user's …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

As computer science and information technology are making broad and deep impacts on
our daily lives, more and more papers are being submitted to computer science journals and …

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 play a crucial role in mitigating the problem of information overload
by suggesting users' personalized items or services. The vast majority of traditional …

Recommendation systems are ubiquitous and impact many domains; they have the potential
to influence product consumption, individuals' perceptions of the world, and life-altering …

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

Recommender systems can mitigate the information overload problem by suggesting users'
personalized items. In real-world recommendations such as e-commerce, a typical …