Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
In this paper we propose a novel recommender system which enhances user-based collaborative filtering by using a trust-based social network. Our main idea is to use infinitesimal ...
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...
— Cooperation amongst heterogeneous mobile radio systems will be an indispensable feature of ‘beyond 3G’. One key mechanism thereby serving as enabling technique for system i...