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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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2021

Predicting Feature-based Similarity in the News Domain Using Human Judgments. Proceeding Forthcoming

Alain Starke; Sebastian Øverhaug Larsen; Christoph Trattner.

International Workshop on News Recommendation and Analytics (INRA 2021) held at RecSys'21.September, 2021, Amsterdam, NL. ACM, New York, NY, USA., Forthcoming.

Abstract | BibTeX | Tags: human judgment, New, News, Recommender systems, similar-item retrieval, similarity, User Study | Links:

Recommending Videos in Cold Start With Automatic Visual Tags Proceeding

Mehdi Elahi; Farshad B. Moghaddam; Reza Hosseini; Mohammad Hossein Rimaz; Nabil El Ioini; Marko Tkalcic; Christoph Trattner; Tammam Tillo

29th Conference on User Modeling, Adaptation and Personalization conference (UMAP 2021) Utrecht, the Netherlands, 2021.

Abstract | BibTeX | Tags: Cold Start, New, Recommender systems, Visual features, Visual tags, WP2: User Modeling Personalization and Engagement | Links:

2020

Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Journal Article

Naieme Hazrati; Mehdi Elahi

Expert Systems, e12645 , pp. 1-20, 2020, (Pre SFI).

Abstract | BibTeX | Tags: Cold Start, Multimedia, New Item, Recommender systems, Visually Aware, WP2: User Modeling Personalization and Engagement | Links:

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference

Krisztian Balog; Filip Radlinski

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), New York, 2020, (Pre SFI).

Abstract | BibTeX | Tags: HCI design and evaluation methods, Human-centered computing, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement | Links:

A Systematic Review and Taxonomy of Explanations in Decision Support and Recommender Systems Journal Article

Ingrid Nunes; Dietmar Jannach

User-Modeling and User-Adapted Interaction, 27 (3-5), pp. 393-444, 2020, (Pre SFI).

Abstract | BibTeX | Tags: Artificial Intelligence, Decision Support System, Expert System, Explanation, Knowledge-based system, Machine Learning, Recommender systems, Systematic review, Trust, WP2: User Modeling Personalization and Engagement | Links:

Beyond “one-size-fits-all” platforms: Applying Campbell's paradigm to test personalized energy advice in the Netherlands Journal Article

Alain D. Starke; Martijn C. Willemsen; Chris C.P. Snijders

59 (January 2020), pp. 1-12, 2020.

Abstract | BibTeX | Tags: Conservation advice, Energy efficiency, Rasch model, Recommender systems | Links:

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

Evaluation of Session-based Recommendation Algorithms Journal Article

Malte Ludewig; Dietmar Jannach

User-Modeling and User-Adapted Interaction, 28 (4-5), pp. 331-390, 2018, (Pre SFI).

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

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:

2017

Exploring the semantic gap for movie recommendations Conference

Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cerada; Paolo Cremonesi

Proceedings of the Eleventh ACM Conference on Recommender Systems, Association for Computing Machinery New York, 2017, (Pre SFI).

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

2016

Recommender Systems - Beyond Matrix Completion Journal Article

Dietmar Jannach; Alexander Tuzhilin; Markus Zanker

Communications of the ACM, 59 (11), pp. 94-102, 2016, (Pre SFI).

Abstract | BibTeX | Tags: Recommender systems, 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: