Content Personalized Recommendation Engine to Support an Informal Learning Environment in the Health Context

Content Personalized Recommendation Engine to Support an Informal Learning Environment in the Health Context

Alisson Alan Lima da Costa, Francisco Milton Mendes Neto, Enio Lopes Sombra, Jonathan Darlan Cunegundes Moreira, Rafael Castro de Souza, Jerffeson Gomes Dutra
ISBN13: 9781522501251|ISBN10: 1522501258|EISBN13: 9781522501268
DOI: 10.4018/978-1-5225-0125-1.ch019
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MLA

Lima da Costa, Alisson Alan, et al. "Content Personalized Recommendation Engine to Support an Informal Learning Environment in the Health Context." Handbook of Research on 3-D Virtual Environments and Hypermedia for Ubiquitous Learning, edited by Francisco Milton Mendes Neto, et al., IGI Global, 2016, pp. 451-482. https://doi.org/10.4018/978-1-5225-0125-1.ch019

APA

Lima da Costa, A. A., Neto, F. M., Sombra, E. L., Moreira, J. D., Castro de Souza, R., & Dutra, J. G. (2016). Content Personalized Recommendation Engine to Support an Informal Learning Environment in the Health Context. In F. Neto, R. de Souza, & A. Gomes (Eds.), Handbook of Research on 3-D Virtual Environments and Hypermedia for Ubiquitous Learning (pp. 451-482). IGI Global. https://doi.org/10.4018/978-1-5225-0125-1.ch019

Chicago

Lima da Costa, Alisson Alan, et al. "Content Personalized Recommendation Engine to Support an Informal Learning Environment in the Health Context." In Handbook of Research on 3-D Virtual Environments and Hypermedia for Ubiquitous Learning, edited by Francisco Milton Mendes Neto, Rafael de Souza, and Alex Sandro Gomes, 451-482. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0125-1.ch019

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Abstract

People with chronic diseases suffer with limitations imposed by their health condition and learn more about the disease helps in improving the quality of life. This is possible because the use in mass of mobile devices and the advent of Web 2.0 tools, which gave rise to the Health 2.0 concept. This search for the construction of knowledge by stimulating citizens to be active and responsible for their health. However, provide contextualized knowledge at the right time, it is not a trivial task due to the diversity of content and user's profiles. The solution to this is to provide informal learning through personalized recommendation of content by providing relevant content to users related to their health. This chapter proposes a personalized recommendation system of content, which includes the union of different recommendation techniques and genetic algorithm, seeking efficacy on the recommendation of the contents to people with chronic diseases aiming informal learning in health.

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