ERP and Time Management: A recommender system

Anthony Bronner-Etelin (1, 2) , Pascale Zaraté (1, 2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 UT Capitole - Université Toulouse Capitole

Most of today's companies use management software to support their staff organizing their activity. In this context, this software makes it possible to centralize company data, and to extract useful information from it for users in order to make decisions, such as the organization of their working time. However, the amount of available data is too large for a user to be analyzed on their own. Thus, it is likely that the user will not take the most satisfactory decision according to the criteria imposed by the managers, and the real-time evolution of the activity of the company. In this article, we present a recommender system that takes into account the activity of the company, the managers' criteria, as well as the end-user own criteria in order to guide him in his activities. It can be used for any type of activity sector as soon as data are available. The recommender system is an additional module for an existing ERP. The Human-Computer Interface (HCI) is presented, as well as a database. The system is operable and fully customizable.

Mots clés: Recommender System; Time Management; ERP; TAM

Domaines: Intelligence artificielle [cs.AI]; Recherche opérationnelle [math.OC]

Anthony Bronner-Etelin, Pascale Zaraté. ERP and Time Management: A recommender system. 7th International Conference on Cognitive Decision Support Systems and Technologies (ICDSST 2021), May 2021, Loughborough, United Kingdom. ⟨hal-03709531⟩