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 …

In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …

The goal of a Recommender System is to generate meaningful recommendations to a
collection of users for items or products that might interest them. Suggestions for books on …

Most recommender systems use Collaborative Filtering or Content-based methods to predict
new items of interest for a user. While both methods have their own advantages, individually …

Recommender systems have proven to be an important response to the information
overload problem, by providing users with more proactive and personalized information …

Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …

Watching television tends to be a social activity. So, adaptive television needs to adapt to
groups of users rather than to individual users. In this paper, we discuss different strategies …

Searching for and making decisions about information is becoming increasingly difficult as
the amount of information and number of choices increases. Recommendation systems help …

The number of research papers available is growing at a staggering rate. Researchers need
tools to help them find the papers they should read among all the papers published each …

Recently. recommender systems have become a very crucial application in the online
market and e-commerce as users are often astounded by choices and preferences and they …