2015

Conférence

In the 17th International Conference on Information Integration and Web-based Applications & Services, iiWAS, 11-13 December. Brussels-Belgium

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.

@inproceedings{DBLP:conf/iiwas/DhaouadiMG15,
  author       = {Rahma Dhaouadi and
                  Achraf Ben Miled and
                  Khaled Gh{\'{e}}dira},
  editor       = {Gabriele Anderst{-}Kotsis and
                  Maria Indrawan{-}Santiago},
  title        = {Agent based modeling and simulation for events hybrid recommendation:
                  application to the handicraft domain},
  booktitle    = {Proceedings of the 17th International Conference on Information Integration
                  and Web-based Applications {\&} Services, iiWAS 2015, Brussels,
                  Belgium, December 11-13, 2015},
  pages        = {32:1--32:5},
  publisher    = {{ACM}},
  year         = {2015},
  url          = {https://doi.org/10.1145/2837185.2837276},
  doi          = {10.1145/2837185.2837276},
  timestamp    = {Sun, 19 Jan 2025 13:33:53 +0100},
  biburl       = {https://dblp.org/rec/conf/iiwas/DhaouadiMG15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}