Recommender system (RS) are a type of suggestion to the information overload problem
suffered by user of websites that allow the rating of particular item. The movie RS are one of …

Collaborative Filtering (CF) has intrigued several researchers whose goal is to enhance
Recommender System's performance by mitigating their drawbacks. CF's common idea is to …

In a web environment, one of the most evolving application is those with recommendation
system (RS). It is a subset of information filtering systems wherein, information about certain …

The increasing demand for personalized information has resulted in the development of the
Recommender System (RS). RS has been widely utilized and broadly studied to suggest the …

In the field of Artificial Intelligence Machine learning provides the automatic systems which
learn and improve itself from experience without being explicitly programmed. In this …

Movie recommendation in mobile environment is critically important for mobile users. It
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …

Collaborative Filtering (CF) technique has proven to be promising for implementing large
scale recommender systems but its success depends mainly on locating similar neighbors …

Recommender systems are information filtering tools that aspire to predict the rating for
users and items, predominantly from big data to recommend their likes. Movie …

In recent years, the use of trust-based recommendation systems to predict the scores of
items not rated by users has attracted many researchers' interest. Accordingly, they create a …

Recommender systems are contributing a significant aspect in information filtering and
knowledge management systems. They provide explicit and reliable recommendations to …