Multi-Criteria Recommender Systems based on Multi-Attribute Decision Making

Abstract

The Multi-Criteria Recommender systems continue to be interesting and challenging problem. In this paper we will propose an approach for selection of relevant items in a RS based on multi-criteria ratings and a method of computing weights of criteria taken from Multi-criteria Decision Making (MCDM). This method proposes a correlation coefficient and standard deviation integrated approach for determining weight of criteria in multi-criteria recommender systems. We evaluated the proposed method on an example of movies recommendation. Our approach was compared to some other metrics used in Information Theoretic approach to illustrate its potential applications.