A Recommender System Based on Multi-Criteria Aggregation

@article{Fomba2017ARS,
  title={A Recommender System Based on Multi-Criteria Aggregation},
  author={Soumana Fomba and Pascale Zarat{\'e} and D. Marc Kilgour and Guy Camilleri and Jacqueline Konat{\'e} and Fana Tangara},
  journal={Int. J. Decis. Support Syst. Technol.},
  year={2017},
  volume={9},
  pages={1-15}
}
Recommender systems aim to support decision-makers by providing decision advice. We offer multi-criteria decision recommendations based on a performance matrix and a partial order on criteria submitted by the user. Our method is to aggregate performance measures over all criteria based on inferences about preferences from the decision-maker’s input. After reviewing some multicriteria aggregation operators, we present a recommender system that uses the Choquet integral of a fuzzy measure to… 

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