| 2019 | Fairness and discrimination in recommendation and retrieval. | Michael D. Ekstrand, Robin Burke, Fernando Diaz |
| 2019 | On gossip-based information dissemination in pervasive recommender systems. | Tobias Eichinger, Felix Beierle, Robin Papke, Lucas Rebscher, Hong Chinh Tran, Magdalena Trzeciak |
| 2019 | PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. | Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Pea, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor |
| 2019 | Review-Based Cross-Domain Collaborative Filtering: A Neural Framework. | Thanh-Nam Doan, Shaghayegh Sahebi |
| 2019 | How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation. | Linus W. Dietz, Wolfgang Wrndl |
| 2019 | Simple Objectives Work Better. | Joaquin Delgado, Samuel Lind, Carl Radecke, Satish Konijeti |
| 2019 | Assessing the Impact of a User-Item Collaborative Attack on Class of Users. | Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2019 | Recommender Systems Fairness Evaluation via Generalized Cross Entropy. | Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogn Kouki, Tommaso Di Noia |
| 2019 | Driving content recommendations by building a knowledge base using weak supervision and transfer learning. | Sanghamitra Deb |
| 2019 | Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank. | Edoardo D'Amico, Giovanni Gabbolini, Daniele Montesi, Matteo Moreschini, Federico Parroni, Federico Piccinini, Alberto Rossettini, Alessio Russo Introito, Cesare Bernardis, Maurizio Ferrari Dacrema |
| 2019 | Are we really making much progress? A worrying analysis of recent neural recommendation approaches. | Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach |
| 2019 | A pragmatic and industry-aware approach toward the design of on-line recommender systems. | Paolo Cremonesi |
| 2019 | Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. | Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi |
| 2019 | Collective embedding for neural context-aware recommender systems. | Felipe Soares Da Costa, Peter Dolog |
| 2019 | A First Analysis of Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems. | Andrew Collins, Joeran Beel |
| 2019 | Adversarial attacks on an oblivious recommender. | Konstantina Christakopoulou, Arindam Banerjee |
| 2019 | Adversarial tensor factorization for context-aware recommendation. | Huiyuan Chen, Jing Li |
| 2019 | Groupon finally explains why we showed those offers. | Sasank Channapragada, Harshit Syal, Ibrahim Maali |
| 2019 | Multi-armed recommender system bandit ensembles. | Roco Caamares, Marcos Redondo, Pablo Castells |
| 2019 | Traversing semantically annotated queries for task-oriented query recommendation. | Arthur Cmara, Rodrygo L. T. Santos |
| 2019 | Towards a Taxonomy of User Feedback Intents for Conversational Recommendations. | Wanling Cai, Li Chen |
| 2019 | RMSE: Workshop on Recommendation in Multi-stakeholder Environments. | Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang |
| 2019 | Recommendation in multistakeholder environments. | Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang |
| 2019 | RecSys '19 joint workshop on interfaces and human decision making for recommender systems. | Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen |
| 2019 | Pace my race: recommendations for marathon running. | Jakim Berndsen, Barry Smyth, Aonghus Lawlor |