Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to n...
Current recommendation methods are mainly classified into contentbased, collaborative filtering and hybrid methods. These methods are based on similarity measurements among item...
Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi L...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems choose one or more candidates from a set of candidates through a filtering pro...
A recommendation system tracks past actions of a group of users to make recommendations toindividualmembersofthe group. The growth ofcomputer-mediatedmarketingandcommerce has led ...
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopala...
It has previously been shown that a recommender based on immune system idiotypic principles can outperform one based on correlation alone. This paper reports the results of work i...