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...
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...