A CBR-based game recommender for rehabilitation videogames in social networks

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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. © 2014 Springer International Publishing Switzerland.

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APA

Catalá, L., Julián, V., & Gil-Gómez, J. A. (2014). A CBR-based game recommender for rehabilitation videogames in social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8669 LNCS, pp. 370–377). Springer Verlag. https://doi.org/10.1007/978-3-319-10840-7_45

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