Abstract
To assure the delivery ‘s performance in IT Digital services company, we must assign the best collaborator’s profile in the adequate project. The objective of our study is to develop a Recommendation system for Human Resources Data with based-content and collaborative filtering, that allows recommending potential collaborators for a new job offer, using multicriteria analysis (AHP) and the matching between job offer of new project and collaborators profiles. We propose in the first step a model of criteria to measure competences for the Information Technology team, we validate it by a survey carried out in the IT service company based in Morocco. The data collected is analyzed using dimensionality reduction (PCA) method (Principal Component Analysis). The results indicate that six factors can measure the collaborator’s competences in the team (collective competence): Technical competence, Integrity, Proactivity, Communication, Cooperation, and Benevolence/Interpersonal Relationship. These criteria will be used in the AHP function to allow a recommendation of potential collaborators for the adequate project.
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Baali, S., Moutachaouik, H., Marzak, A. (2020). Toward a Recommendation System: Proposition of a New Model to Measure Competences Using Dimensionality Reduction. In: Hamlich, M., Bellatreche, L., Mondal, A., Ordonez, C. (eds) Smart Applications and Data Analysis. SADASC 2020. Communications in Computer and Information Science, vol 1207. Springer, Cham. https://doi.org/10.1007/978-3-030-45183-7_10
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DOI: https://doi.org/10.1007/978-3-030-45183-7_10
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