Abstract
Health care can be greatly improved through social activities. Present day technology can help through social networks and free internet games. A system can be built, combining present day technology with recommender systems to ensure supervision for the elderly and disabled. Using the behavior studied on social networking sites a system was created to match games to particular users. Common associations between a user’s personality and a game’s genre were considered in the process and used to create a formula for how appropriate a game suggestion is. We found that the games receiving the best results from the users were those games that trained those certain users’ disabilities not others.
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Catalá, L., Julián, V., Gil-Gómez, JA. (2014). A CBR-Based Game Recommender for Rehabilitation Videogames in Social Networks. In: Corchado, E., Lozano, J.A., Quintián, H., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2014. IDEAL 2014. Lecture Notes in Computer Science, vol 8669. Springer, Cham. https://doi.org/10.1007/978-3-319-10840-7_45
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DOI: https://doi.org/10.1007/978-3-319-10840-7_45
Publisher Name: Springer, Cham
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