In recommender systems, user ratings of items are often represented in terms of linguistic labels such as “fair” or “very good”. We investigate the potential of fuzzy sets...
act 11 Recommender systems anticipate users’ needs by suggesting items that are likely to interest them. Most existing systems 12 employ collaborative filtering (CF) techniques,...
Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhan...
Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy linguistic evaluation method of We...
Enrique Herrera-Viedma, Eduardo Peis, Jesus Canelo...
This paper introduces an opinion judgment system that automatically gives advice on whether to recommend this product and furthermore provides corresponding reasons. The core task...
: Automated collaborative filtering is a popular technique for reducing information overload. In this paper, we propose a new approach for the collaborative filtering using local...