| 2019 | Darwin & Goliath: a white-label recommender-system as-a-service with automated algorithm-selection. | Jran Beel, Alan Griffin, Conor O'Shea |
| 2019 | Data Pruning in Recommender Systems Research: Best-Practice or Malpractice? | Jran Beel, Victor Brunel |
| 2019 | CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. | Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz |
| 2019 | PQ-VAE: Efficient Recommendation Using Quantized Embeddings. | Jan Van Balen, Mark Levy |
| 2019 | Leveraging Emotion Features in News Recommendations. | Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis |
| 2019 | Data mining for item recommendation in MOBA games. | Vladimir Araujo, Felipe Rios, Denis Parra |
| 2019 | On the discriminative power of hyper-parameters in cross-validation and how to choose them. | Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Claudio Pomo, Azzurra Ragone |
| 2019 | Keynote Abstract: Inspiring Healthy Habits: Data Science at WW. | Carl Anderson |
| 2019 | IRF: interactive recommendation through dialogue. | Oznur Alkan, Massimiliano Mattetti, Elizabeth M. Daly, Adi Botea, Inge Vejsbjerg |
| 2019 | Evolutionary approach for 'healthy bundle' wellbeing recommendations. | Hugo Alcaraz-Herrera, Ivn Palomares |
| 2019 | Using AI to build communities around interests on LinkedIn. | Abdulla Al-Qawasmeh, Ankan Saha |
| 2019 | Quick and accurate attack detection in recommender systems through user attributes. | Mehmet Aktukmak, Yasin Yilmaz, Ismail Uysal |
| 2019 | Domain adaptation in display advertising: an application for partner cold-start. | Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi |
| 2019 | Workshop on context-aware recommender systems. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2019 | The Unfairness of Popularity Bias in Recommendation. | Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher |
| 2019 | Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. | Himan Abdollahpouri, Robin Burke |
| 2019 | Spotivibes: Tagging Playlist Vibes with Colors. | Hiba Abderrazik, Giovan Angela, Hans Brouwer, Henky Janse, Sterre Lutz, Gwennan Smitskamp, Sandy Manolios, Cynthia C. S. Liem |
| 2019 | Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon. | Peng Liu, Cristina Marco, Jon Atle Gulla |
| 2019 | SMORe: modularize graph embedding for recommendation. | Chih-Ming Chen, Ting-Hsiang Wang, Chuan-Ju Wang, Ming-Feng Tsai |
| 2019 | Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings. | Christine Bauer, Eva Zangerle |
| 2019 | Attribute-based evaluation for recommender systems: incorporating user and item attributes in evaluation metrics. | Pablo Snchez, Alejandro Bellogn |
| 2018 | Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking. | Lin Zhu, Bowen He, Mengxin Ji, Cheng Ju, Yihong Chen |
| 2018 | Extra: explaining team recommendation in networks. | Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong |
| 2018 | A field study of related video recommendations: newest, most similar, or most relevant? | Yifan Zhong, Tahir Lazaro Sousa Menezes, Vikas Kumar, Qian Zhao, F. Maxwell Harper |
| 2018 | Spectral collaborative filtering. | Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu |