Abstract
The work consists in developing a recommender system in order to support decision makers in their activities. This support is possible through the management of users’ profiles that will evolve following their answers or actions. This evolution is possible using automated techniques, especially reinforcement learning. The developed recommender system is based on a Multi-Criteria approach.
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Martin, A., Zarate, P., Camillieri, G. (2017). A Multi-Criteria Recommender System Based on Users’ Profile Management. In: Zopounidis, C., Doumpos, M. (eds) Multiple Criteria Decision Making. Multiple Criteria Decision Making. Springer, Cham. https://doi.org/10.1007/978-3-319-39292-9_5
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