With the rapidly evolving technological landscape, the huge development of the Internet of
Things, and the embracing of digital transformation, the world is witnessing an explosion in …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

Chaos-based cryptosystems have been an active area of research in recent years. Although
these algorithms are not standardized like AES, DES, RSA, etc., chaos-based cryptosystems …

Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …

Online vendors employ collaborative filtering algorithms to provide recommendations to their
customers so that they can increase their sales and profits. Although recommendation …

Collaborative filtering recommender systems (CFRSs) have already been proved effective to
cope with the information overload problem since they merged in the past two decades …

Shilling attackers apply biased rating profiles to recommender systems for manipulating
online product recommendations. Although many studies have been devoted to shilling …

Nowadays, due to the increasing amount of data, the use of recommender systems has
increased. Therefore, the quality of the recommendations for the users of these systems is …

Collaborative recommender systems are vulnerable to malicious users who seek to bias
their output, causing them to recommend (or not recommend) particular items. This problem …

Collaborative filtering (CF) technique is capable of generating personalized
recommendations. However, the recommender systems utilizing CF as their key algorithms …