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Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey
2015
IEEE Transactions on Learning Technologies
The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like e-commerce. Consequently, these particular requirements motivate the incorporation of specific goals and methods in the evaluation process for TEL
doi:10.1109/tlt.2015.2438867
fatcat:mha3lacgrzc2bmgnxozvnjltbi