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- W2329120650 abstract "Recommending personalized events from the huge amount of information on the social web is a challenging problem. Besides, dealing with such recommendation improves significantly the professional communities activities. Likewise, it helps them to make appropriate decisions while saving time and efforts. In this paper, we propose a hybrid recommender system which suggests suitable events to the HanDicraft Women (HDWs) from Tunisia and Algeria. The established system considers the final user needs and demographic attributes. Indeed, it combines the knowledge-based and demographic approaches together. Useful information related to the HDWs and available events are represented through a semantic formalization: Friend Of A Friend (FOAF) Ontoloy and Online presence Ontology (OPO). Moreover, the recommender is able to manage the dynamicity and heterogeneity of the HDWs environments since it is based on a multi-agent architecture." @default.
- W2329120650 created "2016-06-24" @default.
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- W2329120650 date "2015-12-11" @default.
- W2329120650 modified "2023-10-18" @default.
- W2329120650 title "Agent based modeling and simulation for events hybrid recommendation" @default.
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- W2329120650 doi "https://doi.org/10.1145/2837185.2837276" @default.
- W2329120650 hasPublicationYear "2015" @default.
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