Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …

The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …

A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

Recommender systems have become one of the main tools for personalized content filtering
in the educational domain. Those who support teaching and learning activities, particularly …

Currently, the Internet contains a large amount of information, which must then be filtered to
determine suitability for certain users. Recommender systems are a very suitable tool for this …

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

Today's Recommender system is a relatively new area of research in machine learning. The
recommender system's main idea is to build relationship between the products, users and …

In e-commerce websites and related micro-blogs, users supply online reviews expressing
their preferences regarding various items. Such reviews are typically in the textual …

A recommender system is employed to accurately recommend items, which are expected to
attract the user's attention. The over-emphasis on the accuracy of the recommendations can …

Nowadays, e-commerce websites are emerging as a new market and allow the millions of
product to the user for sale. The selection of product from millions of product requires an …