Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation Framework

Recommender systems have been served to assist decision making by recommending a list of items the end users. Multi-criteria recommender system (MCRS) is type which enhance recommendation performance taking user preferences on multiple criteria. Traditional algorithms for MCRS usually predict ratings these criteria, and finally estimate overall rating different aggregation functions. In this paper, we propose new multi-criteria framework in can take advantage Pareto ranking based estimated infer score top-N recommendations. The proposed general enough all existing be reused integrated with our framework. We demonstrate effectiveness evaluating recommendations over four real-world data sets.