Abstract is missing.
- EB-NeRD a large-scale dataset for news recommendationJohannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava 0004, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen. 1-11 [doi]
- DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News RecommendationAntonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio de Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci. 12-16 [doi]
- Exploiting Contextual Normalizations and Article Endorsement for News RecommendationAndrea Alari, Lorenzo Campana, Federico Giuseppe Ciliberto, Saverio Maggese, Carlo Sgaravatti, Francesco Zanella, Andrea Pisani, Maurizio Ferrari Dacrema. 17-21 [doi]
- Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys ChallengeLucien Heitz, Sanne Vrijenhoek, Oana Inel. 22-26 [doi]
- Leveraging LightGBM Ranker for Efficient Large-Scale News Recommendation SystemsTetsuro Sugiura, Yosuke Yamagishi, Yodai Kishimoto. 27-31 [doi]
- Enhancing News Recommendation with Real-Time Feedback and Generative Sequence ModelingQi Zhang 0001, Jieming Zhu, Jiansheng Sun, Guohao Cai, Ruining Yu, Bangzheng He, Liangbi Li. 32-36 [doi]
- Harnessing Temporal Dynamics and Content: An Ensemble of Gradient Boosting Machines for News RecommendationTomomu Iwai, Akihiro Tomita, Tomoyuki Arai, Hiroki Ogawa, Takuma Saito. 37-41 [doi]
- Enhancing News Recommendation with Transformers and Ensemble LearningKazuki Fujikawa, Naoki Murakami, Yuki Sugawara. 42-47 [doi]
- Leveraging User History with Transformers for News Clicking: The DArgk ApproachJuan Manuel Rodriguez, Antonela Tommasel. 48-52 [doi]
- Large Scale Hierarchical User Interest Modeling for Click-through Rate PredictionTaofeng Xue, Zhimin Lin, Zijian Zhang, Linsen Guo, Haoru Chen, Mengjiao Bao, Peng Yan. 53-57 [doi]