Abstract
The phenomenon of aging, which has become more prevalent in our society in recent decades, has raised a number of concerns about the well-being of the elderly. Studies show that a significant percentage of retired seniors suffer from depression as a result of inactivity and a poor social environment. In order to provide seniors an opportunity to reintegrate into a healthy work environment, a knowledge transfer platform was created, with the goal of allowing seniors to share their knowledge with organizations that required the experience of a specialist. The paper presents a hybrid system that can recommend mentors for a certain assignment to companies, based on their abilities. Using AI agents, a combination of a matchmaking system and a collaborative filter calculates the similarity between the corporate profile and candidate profiles. The functionality of the system has been tested on different scenarios.
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Acknowledgement
This work was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI and of the AAL Programme with co-funding from the European Union’s Horizon 2020 research and innovation programme project number AAL-CP-AAL-2020-7-83-CP-WisdomOfAge within PNCDI II.
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Rus, G. et al. (2023). An Innovative Recommendation System for a Knowledge Transfer Matchmaking Platform. In: Papadopoulos, G.A., Achilleos, A., Pissaloux, E., Velázquez, R. (eds) ICT for Health, Accessibility and Wellbeing. IHAW 2022. Communications in Computer and Information Science, vol 1799. Springer, Cham. https://doi.org/10.1007/978-3-031-29548-5_11
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