Simon Bremer

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Recommender Systems (RS) are widely used to provide users with personalized suggestions taken from an extended variety of items. One of the major challenges of RS is the accuracy in cold-start situations where little feedback is available for a user or an item. Exploiting available user and item metadata helps to cope with this problem.We propose a hybrid(More)
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