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Intelligent recommendation system for e-learning platforms
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
User modeling User-adapted systems Recommending systems e-learning systems query clustering