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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

Deep Learning to Encourage Citizen Involvement in Local Journalism Journal Article Forthcoming

Bjørnar Tessem; Lars Nyre; Michel dos Santos Mesquita; Paul Mulholland

Futures of Journalism. Palgrave Macmillan. , Forthcoming.

BibTeX | Tags: New

The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. Proceeding Forthcoming

Alain Starke; Christoph Trattner; H. Bakken; M. Johannessen; V. Solberg

Forthcoming.

BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement

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:

Exploring the Effects of Natural Language Justifications in Food Recommender Systems Proceeding

Cataldo Musto; Alain D. Starke; Christoph Trattner; Amon Rapp; Giovanni Semeraro

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement | Links:

Beyond Algorithmic Fairness in Recommender Systems Proceeding

Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury; Helma Torkamaan

Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0.

BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement | Links: