A New Hybrid Approach for Alleviating Cold-Start Issues in Recommender Systems. |
Nouhaila Idrissi, Ahmed Zellou, Oumaima Hourrane, Zohra Bakkoury, El Habib Benlahmar
Academic Editor: Youssef EL FOUTAYENI
Received |
Accepted |
Published |
Feb 01, 2019 |
Feb 26, 2019 |
Mar 01, 2019 |
Abstract: With the explosive growth of the Internet and the Web, assisting users and facilitate their access to resources that might be of their interest and that are adapted to their personal needs is a tedious task. Efficient management of large amounts of information becomes an increasingly significant challenge. Hence, recommender systems have proved, in recent years, to be a valuable asset to dealing with the problem of information overload by assisting the user and providing her with more effective access to information. To this end, these systems must be able to predict users' interests based ...