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ORCID7th INRA@RecSys 2019: Copenhagen, Denmark
- Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch:
Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, INRA@RecSys 2019, Copenhagen, Denmark, September 20, 2019. CEUR Workshop Proceedings 2554, CEUR-WS.org 2020
Workshop Papers
- Jannick Kirk Sørensen:
Public Service Media, Diversity and Algorithmic Recommendation: Tensions between Editorial Principles and Algorithms in European PSM Organizations. 6-11 - Peng Liu, Cristina Marco, Jon Atle Gulla:
Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon. 12-17 - Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha:
On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. 18-23 - Benjamin Kille, Andreas Lommatzsch:
Defining a Meaningful Baseline for News Recommender Systems. 24-28 - Mozhgan Karimi, Boris Cule, Bart Goethals:
On-the-Fly News Recommendation Using Sequential Patterns. 29-34 - Felix Hamborg, Corinna Breitinger, Bela Gipp:
Giveme5W1H: A Universal System for Extracting Main Events from News Articles. 35-43 - Maria Panteli, Alessandro Piscopo, Adam Harland, Jonathan Tutcher, Felix Mercer Moss:
Recommendation Systems for News Articles at the BBC. 44-52 - Joanna Misztal-Radecka, Dominik Rusiecki, Michal Zmuda, Artur Bujak:
Trend-Responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-World Large-Scale News Recommendation System. 53-62 - Janu Verma:
Enriched Network Embeddings for News Recommendation. 63-69 - Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis:
Leveraging Emotion Features in News Recommendations. 70-78
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