Purpose This study explores privacy challenges in recommender systems (RSs) and how
they have leveraged privacy-preserving technology for risk mitigation. The study also …

Recommendation systems are crucially important for the delivery of personalized services to
users. With personalized recommendation services, users can enjoy a variety of targeted …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Recommender systems are an important part of the information and e-commerce ecosystem.
They represent a powerful method for enabling users to filter through large information and …

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 …

Many commercial websites use recommender systems to help customers locate products
and content. Modern recommenders are based on collaborative filtering: they use patterns …

Recommender systems have become an important tool for personalization of online
services. Generating recommendations in online services depends on privacy-sensitive data …

The popularity of online recommender systems has soared; they are deployed in numerous
websites and gather tremendous amounts of user data that are necessary for …

In many online applications, the range of content that is offered to users is so wide that a
need for automated recommender systems arises. Such systems can provide a personalized …

The main goal of a personalized recommender system is to provide useful
recommendations on various items to the users. In order to generate recommendations, the …