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Publications from 2020 and before are not direct results of the SFI MediaFutures, but are key results from our team members working on related topics in MediaFutures.

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A survey of active learning in collaborative filtering recommender systems Journal Article

Mehdi Elahi; Francesco Ricci; Neil Rubens

In: Computer Science Review, vol. 20, pp. 29-50, 2016, (Pre SFI).

Abstract | BibTeX | Tags: Active Learning, Cold Start, Collaborative filtering, New Start, New User, Preference Elicitation, Rating Elicitation, Recommender system, WP2: User Modeling Personalization and Engagement | Links: