There are many e-commerce applications on the web. A common shortcoming is the lack of customer service and marketing analysis tools in most ecommerce web sites. In order to overc...
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
This paper focuses on the representation and access of Web-based information, and how to make such a representation adapt to the activities or interests of individuals within a co...
Matthew Chalmers, Kerry Rodden, Dominique Brodbeck
Abstract Previously, we have proposed two recommendation systems, the Context-aware Information Filtering (C-IF) and Context-aware Collaborative Filtering (C-CF), both of which ar...
Kenta Oku, Shinsuke Nakajima, Jun Miyazaki, Shunsu...
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...