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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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2019

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Conference

Maurizio Ferrari Dacrema; Paolo Cremonesi; Dietmar Jannach

Proceedings of the 2019 ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, 2019, (Pre SFI).

Abstract | BibTeX | Tags: Collaborative filtering, General and referance, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement | Links:

2018

Sequence-Aware Recommender Systems Journal Article

Massimo Quadrana; Paolo Cremonesi; Dietmar Jannach

ACM Computing Surveys, 51 (4), pp. 1-35, 2018, (Pre SFI).

Abstract | BibTeX | Tags: Collaborative filtering, Computing Methodology, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement | Links:

2016

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

Mehdi Elahi; Francesco Ricci; Neil Rubens

Computer Science Review, 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:

Alleviating the new user problem in collaborative filtering by exploiting personality information Journal Article

Ignacio Fernandez Tobias; Matthias Braunhofer; Mehdi Elahi; Francesco Ricci; Ivan Cantador

User Modeling and User-Adapted Interaction, 26 (2-3), pp. 221-255, 2016, (Pre SFI).

Abstract | BibTeX | Tags: Active Learning, Cold-start, Collaborative filtering, Cross-domain, Recommender systems, User Personality, WP2: User Modeling Personalization and Engagement | Links: