Title: Constraint-based recommender for procurement opportunities

Authors: Rahma Dhaouadi; Achraf Ben Miled; Khaled Ghédira

Addresses: High Institute of Management, Université de Tunis, Tunisia ' Faculty of Sciences, Northern Border University, Kingdom of Saudi Arabia ' Université Centrale de Tunis Rue du Lac Biwa, Les Berges du Lac 1, 1053 Tunis, Tunisia

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.

DOI: 10.1504/IJBIS.2020.10024167

International Journal of Business Information Systems, 2021 Vol.38 No.1, pp.62 - 84

Received: 30 Jan 2019
Accepted: 15 Apr 2019

Published online: 30 Oct 2021 *

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