Paper 59: "A User-Centric Evaluation to Generate Case-Based Explanations

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Recommender systems are useful to find relevant products for a certain user. Some recommender techniques based on models, for example, Matrix Factorization, act as a black box for users. Explanations for recommender systems are useful to make recommendations more effective and help the users to trust the system and understa...


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