2021

Journal

Int. J. Bus. Inf. Syst. 38(1): 62-84

We propose a recommender which deals with the suggestion of
suitable supplying opportunities. The established system is addressed to the
handicraft women communities. It targets to respond to their needs and fit their
expectations. Indeed, the recommendation mechanism is based on the final
users profiles, preferences and constraints. Moreover, the adopted
recommendation strategy is hybrid. It includes both the knowledge and the
demographic approaches for better performance. Additionally, we proposed
two recommendation algorithms in order to select and rank suitable suppliers.
In order to validate our approach we designed and developed a context
ontology based multi-agent system. Technically, we developed a J2EE
application based on the JSF technology. Moreover, we introduced interesting
experimentation results showing that our system is accurate and novel.

@article{DBLP:journals/ijbis/DhaouadiMG21,
  author       = {Rahma Dhaouadi and
                  Achraf Ben Miled and
                  Khaled Gh{\'{e}}dira},
  title        = {Constraint-based recommender for procurement opportunities},
  journal      = {Int. J. Bus. Inf. Syst.},
  volume       = {38},
  number       = {1},
  pages        = {62--84},
  year         = {2021},
  url          = {https://doi.org/10.1504/IJBIS.2021.118635},
  doi          = {10.1504/IJBIS.2021.118635},
  timestamp    = {Sun, 06 Oct 2024 21:29:18 +0200},
  biburl       = {https://dblp.org/rec/journals/ijbis/DhaouadiMG21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}