Collaborative recommendations in virtual learning environments.

Recommender systems are software applications that aim to suggest meaningful and useful items to users chen interacting with large volumes of data such as online multimedia content, news, products, among others. These systems generate personalized recommendations of items based on the explicit or im...

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Bibliographic Details

Main Author:	González Bernal, Daniel (author)
Format:	masterThesis
Language:	English
Published:	2019
Subjects:	Sistemas recomendadores Algoritmos de recomendación Entornos de aprendizaje virtual
Online Access:	https://hdl.handle.net/20.500.12008/22855
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