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Publication search results
found 32 matches
- 2023
- Nihal Alaqabawy, Aishwarya Satwani, Amy Voida, Robin Burke:
"It's just a robot that looks at numbers": Restoring Journalistic Voice in News Recommendation. INRA@RecSys 2023 - Andreea Iana, Mehwish Alam, Alexander Grote, Nevena Nikolajevic, Katharina Ludwig, Philipp Müller, Christof Weinhardt, Heiko Paulheim:
NeMig - A Bilingual News Collection and Knowledge Graph about Migration. INRA@RecSys 2023 - Erik Knudsen, Alain D. Starke, Christoph Trattner:
Topical Preference Trumps Other Features in News Recommendation: A Conjoint Analysis on a Representative Sample from Norway. INRA@RecSys 2023 - Thomas E. Kolb, Irina Nalis, Julia Neidhardt:
Like a Skilled DJ - an Expert Study on News Recommendations Beyond Accuracy. INRA@RecSys 2023 - Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News. INRA@RecSys 2023 - Mete Sertkan, Julia Neidhardt:
On the Effect of Incorporating Expressed Emotions in News Articles on Diversity within Recommendation Models. INRA@RecSys 2023 - Benjamin Kille:
Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), Singapore, 18 September 2023. CEUR Workshop Proceedings 3561, CEUR-WS.org 2023 [contents] - 2022
- Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla:
Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, Netherlands, September 27, 2021. CEUR Workshop Proceedings 3143, CEUR-WS.org 2022 [contents] - 2021
- Fatih Gedikli, Anne Stockem Novo, Dietmar Jannach:
Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method. INRA@RecSys 2021: 29-42 - Felix Hamborg, Timo Spinde, Kim Heinser, Karsten Donnay, Bela Gipp:
How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? (short paper). INRA@RecSys 2021: 19-28 - Joseph A. Konstan, Robin Burke, Edward C. Malthouse:
Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). INRA@RecSys 2021: 43-46 - Zhixin Pu, Michael A. Beam:
Information Overload and User Satisfaction: Balance Between Reliance on Recommendations and Deliberate News Selection. INRA@RecSys 2021: 47-61 - Alain D. Starke, Sebastian Øverhaug, Christoph Trattner:
Predicting Feature-based Similarity in the News Domain Using Human Judgments. INRA@RecSys 2021: 1-18 - Masaharu Yoshioka, Norihiko Tatsunami, Masahiko Itoh, Noriko Kando, James Allan:
Interactive Visualization of the Polarity-based Stance of News Websites using News Genres (short paper). INRA@RecSys 2021: 62-69 - 2020
- 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 [contents] - 2019
- Peng Liu, Cristina Marco, Jon Atle Gulla:
Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon. INRA@RecSys 2019: 12-17 - Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis:
Leveraging Emotion Features in News Recommendations. INRA@RecSys 2019: 70-78 - Felix Hamborg, Corinna Breitinger, Bela Gipp:
Giveme5W1H: A Universal System for Extracting Main Events from News Articles. INRA@RecSys 2019: 35-43 - Mozhgan Karimi, Boris Cule, Bart Goethals:
On-the-Fly News Recommendation Using Sequential Patterns. INRA@RecSys 2019: 29-34 - Benjamin Kille, Andreas Lommatzsch:
Defining a Meaningful Baseline for News Recommender Systems. INRA@RecSys 2019: 24-28 - 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. INRA@RecSys 2019: 53-62 - 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. INRA@RecSys 2019: 18-23 - Maria Panteli, Alessandro Piscopo, Adam Harland, Jonathan Tutcher, Felix Mercer Moss:
Recommendation Systems for News Articles at the BBC. INRA@RecSys 2019: 44-52 - Jannick Kirk Sørensen:
Public Service Media, Diversity and Algorithmic Recommendation: Tensions between Editorial Principles and Algorithms in European PSM Organizations. INRA@RecSys 2019: 6-11 - Janu Verma:
Enriched Network Embeddings for News Recommendation. INRA@RecSys 2019: 63-69 - 2016
- Jon Atle Gulla, Bei Yu, Özlem Özgöbek, Nafiseh Shabib:
Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 20, 2015. CEUR Workshop Proceedings 1542, CEUR-WS.org 2016 [contents] - 2015
- Bálint Daróczy, Róbert Pálovics, Vilmos Wieszner, Richárd Farkas, András A. Benczúr:
Predicting User-specific Temporal Retweet Count Based on Network and Content Information. INRA@RecSys 2015: 6-13 - Jung-Woo Ha, Dongyeop Kang, Hyuna Pyo, Jeonghee Kim:
News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning. INRA@RecSys 2015: 27-32 - Mahboobeh Harandi, Jon Atle Gulla:
Survey of User Profiling in News Recommender Systems. INRA@RecSys 2015: 20-26 - Jon Espen Ingvaldsen, Özlem Özgöbek, Jon Atle Gulla:
Context-Aware User-Driven News Recommendation. INRA@RecSys 2015: 33-36
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