Constraint-based recommender for procurement opportunities

Rahma Dhaouadi, Achraf Ben Miled and Khaled Ghédira

International Journal of Business Information Systems, 2021, vol. 38, issue 1, 62-84

Abstract: 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.

Keywords: recommender; supply chain; context ontology-based multi-agent system; supplier selection; supplier ranking; constraint-based recommendation. (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:38:y:2021:i:1:p:62-84

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