Recommender Systems are currently highly relevant for hel** users deal with the
information overload they suffer from the large volume of data on the web, and automatically …

The industry of e-commerce (EC) has become more popular and creates tremendous
business opportunities for many firms. Modern societies are gradually shifting towards …

Automatic multimedia learning resources recommendation has become an increasingly
relevant problem: it allows students to discover new learning resources that match their …

Group recommender systems have emerged as a solution to recommend interesting,
suitable, and useful items that are consumed socially by groups of people, rather than …

Recommender systems are increasingly used in various domains like movies, travel, music,
etc. The rise in social activities has increased the usage of recommender systems in general …

The rapid development of information technology and the fast growth of Internet have
facilitated an explosion of information which has accentuated the information overload …

Abstract In recent times, Recommender Systems (RSs) are gaining immense popularity with
the wider adaptation to deal information overload problem in various application domains …

The goal of a recommender system is to return related items that users may be interested in.
However recommendation methods result in a sparsity problem that affects the generation of …

Group recommender systems aim to suggest appropriate products/services to a group of
users rather than individuals. These recommendations rely solely on determining group …

Graph-based recommendation approaches use a graph model to represent the
relationships between users and items, and exploit the graph structure to make …