Abstract
Since Multi-Agent Systems (MAS) are composed of sets of acting autonomous and pro-active agents, they provide suitable concepts to the construction of self-organizing processes, promising robust and adaptive system behaviors being recommender agents one of the most used for its characteristic. A recommender agent in a mobile app should be aware of user interaction with the interface and make accurate recommendations of its preferences. In this paper, we propose a prototype of a multi-agent recommender system for a mobile healthcare app based in two agents the information retrieval agent, to get user interaction and the recommender agent to make recommendations with the information retrieved about healthy food diet.
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Hurtado, C., Ramirez, M.R., Alanis, A., Vazquez, S.O., Ramirez, B., Manrique, E. (2019). Towards a Multi-Agent System for an Informative Healthcare Mobile Application. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_21
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DOI: https://doi.org/10.1007/978-3-319-92031-3_21
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