Research Communication | Open Access
Volume 2019 | Communication ID 247
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 ...










The first International Conference on Research in Applied Mathematics and Computer Science (ICRAMCS 2019)