Electronic commerce or e-commerce includes the service and good exchange through
electronic support like the Internet. It plays a crucial role in today's business and users' …

Cold Start problems in recommender systems pose various challenges in the adoption and
use of recommender systems, especially for new item uptake and new user engagement …

A lack of in-depth excavation of user and resources information has become the main
bottleneck restricting the predictive analytics of recommendation systems in mobile …

In the present scenario, people are becoming more health-conscious. There are various
factors like age, gender, and genetic history on which diet matters. The internet is flooded …

Masoud Mansoury is a postdoctoral researcher at Amsterdam Machine Learning Lab at
University of Amsterdam, Netherlands. He is also a member of Discovery Lab collaborating …

In the present scenario of electronic commerce (E-Commerce), the indepth knowledge of
user interaction with resources has become a significant research concern that impacts …

Ranking based collaborative filtering (CF) as opposed to the well-known memory based
collaborative filtering has better performance in accommodating user preferences. However …

Abstract Multi-class Co-Clustering (MCoC)-based recommendation system is a method for
recommending favorite items to users. It, firstly, groups items and users in a way that users …

Collaborative filtering based recommendation systems are based on the premise that if a
user looks like another (similar) and that one liked an item, this one will like it too. The …

With the development of network technology, the amount of information on the network has
grown and expanded rapidly with an exponential law, and its information organization is …