Given the increasing growth of the Web and consequently the growth of e-commerce, the
amount of data which users face are increasing day by day. Therefore, one of the key issues …

Collaborative recommender systems offer a solution to the information overload problem
found in online environments such as e-commerce. The use of collaborative filtering, the …

Collaborative Filtering technique is widely adopted by online service providers in their
recommender systems. This technique provides recommendations based on users' …

With the rapid development of ubiquitous data collection and data analysis, data privacy in a
recommended system is facing more and more challenges. Differential privacy technology …

With the continuous growth of the Internet and the progress of electronic commerce the
issues of product recommendation and privacy protection are becoming increasingly …

Collaborative filtering plays an important role in online recommender systems, which
provide personalized services to consumers by collecting and analyzing their rating …

The neighbourhood-based Collaborative Filtering is a widely used method in recommender
systems. However, the risks of revealing customers' privacy during the process of filtering …

In order to receive efficient personalized recommendation, users have to provide personal
information to service providers. However, in this process, personal private data are in an …

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 …

Personalized recommendation has demonstrated its effectiveness in improving the problem
of information overload on the Internet. However, evidences show that due to the concerns …