| 2020 | Recommendations as Graph Explorations. | Marialena Kyriakidi, Georgia Koutrika, Yannis E. Ioannidis |
| 2020 | Recommending in changing times. | Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta |
| 2020 | From the lab to production: A case study of session-based recommendations in the home-improvement domain. | Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Xiquan Cui, Edo Liberty, Khalifeh Al Jadda |
| 2020 | ClusterExplorer: Enable User Control over Related Recommendations via Collaborative Filtering and Clustering. | Denis Kotkov, Qian Zhao, Kati Launis, Mats Neovius |
| 2020 | Do Channels Matter? Illuminating Interpersonal Influence on Music Recommendations. | Hyun Jeong Kim, So Yeon Park, Minju Park, Kyogu Lee |
| 2020 | Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System. | Sami Khenissi, Mariem Boujelbene, Olfa Nasraoui |
| 2020 | Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance. | Mesut Kaya, Derek G. Bridge, Nava Tintarev |
| 2020 | REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. | Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan |
| 2020 | Closed-Form Models for Collaborative Filtering with Side-Information. | Olivier Jeunen, Jan Van Balen, Bart Goethals |
| 2020 | div2vec: Diversity-Emphasized Node Embedding. | Jisu Jeong, Jeong-Min Yun, Hongi Keam, Young-Jin Park, Zimin Park, Junki Cho |
| 2020 | Second Workshop on Recommender Systems in Fashion - fashionXrecsys2020. | Shatha Jaradat, Nima Dokoohaki, Humberto Jess Corona Pampn, Reza Shirvany |
| 2020 | Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. | Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge |
| 2020 | End-to-End Learning for Conversational Recommendation: A Long Way to Go? | Dietmar Jannach, Ahtsham Manzoor |
| 2020 | A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems. | Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Marco Polignano, Pierpaolo Basile, Giovanni Semeraro |
| 2020 | Conversational Agents for Recommender Systems. | Andrea Iovine |
| 2020 | Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. | Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof |
| 2020 | Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. | Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang |
| 2020 | Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. | Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang |
| 2020 | Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. | Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas |
| 2020 | CPR: Collaborative Pairwise Ranking for Online List Recommendations. | Saurabh Gupta, Bharathan Balaji, Runfei Luo |
| 2020 | Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. | Dalin Guo, Sofia Ira Ktena, Pranay Kumar Myana, Ferenc Huszar, Wenzhe Shi, Alykhan Tejani, Michael Kneier, Sourav Das |
| 2020 | Characterizing and Mitigating the Impact of Data Imbalance for Stakeholders in Recommender Systems. | Elizabeth Gmez |
| 2020 | Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints. | Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez |
| 2020 | A Stacking Ensemble Model for Prediction of Multi-type Tweet Engagements. | Shuhei Goda, Naomichi Agata, Yuya Matsumura |
| 2020 | Gradient Boosting and Language Model Ensemble for Tweet Recommendation. | Pere Gilabert, Santi Segu |