| 2020 | Tuning Word2vec for Large Scale Recommendation Systems. | Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein |
| 2020 | Debiasing Few-Shot Recommendation in Mobile Games. | Lele Cao, Sahar Asadi, Matteo Biasielli, Michael Sjberg |
| 2020 | On Target Item Sampling in Offline Recommender System Evaluation. | Roco Caamares, Pablo Castells |
| 2020 | On the Importance of Context: Privacy Perceptions ofPersonal vs. Health Data in Health Recommender Systems. | Laura Burbach, Poornima Belavadi, Patrick Halbach, Nils Plettenberg, Johannes Nakayama, Lilian Kojan, Andr Calero Valdez |
| 2020 | 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 |
| 2020 | Online Recommender system for Accessible Tourism Destinations. | Luchiana Cezara Brodeala |
| 2020 | ComplexRec 2020: Workshop on Recommendation in Complex Environments. | Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin |
| 2020 | Recommeding Safe Actions by Learning from Sub-optimal Demonstrations. | Lars Boecking, Patrick Philipp |
| 2020 | Query as Context for Item-to-Item Recommendation. | Moumita Bhattacharya, Amey Barapatre |
| 2020 | Fit to Run: Personalised Recommendations for Marathon Training. | Jakim Berndsen, Barry Smyth, Aonghus Lawlor |
| 2020 | Recommending Accommodation Filters with Online Learning. | Lucas Bernardi, Pablo Estevez, Matias Eidis, Eqbal Osama |
| 2020 | Keynote Abstract: Health Personalisation: From Wellbeing to Medicine. | Shlomo Berkovsky |
| 2020 | Carousel Personalization in Music Streaming Apps with Contextual Bandits. | Walid Bendada, Guillaume Salha, Tho Bontempelli |
| 2020 | Recommender-Systems.com: A Central Platform for the Recommender-System Community. | Joeran Beel |
| 2020 | Ratings in, rankings out. Keep it simple, they said. But we need more than that (Keynote). | Christine Bauer |
| 2020 | History-Augmented Collaborative Filtering for Financial Recommendations. | Baptiste Barreau, Laurent Carlier |
| 2020 | Introduction to Bandits in Recommender Systems. | Andrea Barraza-Urbina, Dorota Glowacka |
| 2020 | Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. | Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein |
| 2020 | Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface. | Rohan Bansal, Jordan Olmstead, Uri Bram, Robert Cottrell, Gabriel Reder, Jaan Altosaar |
| 2020 | Bias in Search and Recommender Systems. | Ricardo Baeza-Yates |
| 2020 | A Recommender System for Informal Bibliotherapy. | Jatin Aswal, Nisheeth Srivastava |
| 2020 | Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems. | Guy Aridor, Duarte Gonalves, Shan Sikdar |
| 2020 | RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. | Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi |
| 2020 | Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2020 | Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization. | Rohan Anand, Joeran Beel |