Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/2886
Título: Intelligent recommendation system for e-learning platforms
Autor: Tavares, Bruno
Faria, Luiz
Martins, Constantino
Palavras-chave: User modeling
User-adapted systems
Recommending systems
e-learning systems
query clustering
Data: 2012
Editora: WSEAS Press
Resumo: As more and more digital resources are available, finding the appropriate document becomes harder. Thus, a new kind of tools, able to recommend the more appropriated resources according the user needs, becomes even more necessary. The current project implements an intelligent recommendation system for elearning platforms. The recommendations are based on one hand, the performance of the user during the training process and on the other hand, the requests made by the user in the form of search queries. All information necessary for decision-making process of recommendation will be represented in the user model. This model will be updated throughout the target user interaction with the platform.
URI: http://hdl.handle.net/10400.22/2886
ISBN: 9781618041067
Versão do Editor: http://www.wseas.us/e-library/conferences/2012/Porto/MAMECTIS/MAMECTIS-35.pdf
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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