| 2020 | Workshop on Online Misinformation- and Harm-Aware Recommender Systems. | Antonela Tommasel, Daniela Godoy, Arkaitz Zubiaga |
| 2020 | A Federated Recommender System for Online Services. | Ben Tan, Bo Liu, Vincent W. Zheng, Qiang Yang |
| 2020 | Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. | Jiaxi Tang, Hongyi Wen, Ke Wang |
| 2020 | Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. | Hongyan Tang, Junning Liu, Ming Zhao, Xudong Gong |
| 2020 | The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference. | Jacopo Tagliabue, Bingqing Yu, Federico Bianchi |
| 2020 | Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de. | Panagiotis Symeonidis, Andrea Janes, Dmitry Chaltsev, Philip Giuliani, Daniel Morandini, Andreas Unterhuber, Ludovik Coba, Markus Zanker |
| 2020 | Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. | Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng |
| 2020 | A College Major Recommendation System. | Samuel A. Stein, Gary M. Weiss, Yiwen Chen, Daniel D. Leeds |
| 2020 | Fairness-aware Recommendation with librec-auto. | Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury |
| 2020 | A combination of classification based methods for recommending tweets. | Sumit Sidana |
| 2020 | Post-hoc Explanations for Complex Model Recommendations using Simple Methods. | Dorin Shmaryahu, Guy Shani, Bracha Shapira |
| 2020 | Context-aware Graph Embedding for Session-based News Recommendation. | Heng-Shiou Sheu, Sheng Li |
| 2020 | Improving One-class Recommendation with Multi-tasking on Various Preference Intensities. | Chu-Jen Shao, Hao-Ming Fu, Pu-Jen Cheng |
| 2020 | Using conceptual incongruity as a basis for making recommendations. | Tushar Shandhilya, Nisheeth Srivastava |
| 2020 | Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. | Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan |
| 2020 | Exploring Artist Gender Bias in Music Recommendation. | Dougal Shakespeare, Lorenzo Porcaro, Emilia Gmez, Carlos Castillo |
| 2020 | PicTouRe - A Picture-Based Tourism Recommender. | Mete Sertkan, Julia Neidhardt, Hannes Werthner |
| 2020 | A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets. | Yoshifumi Seki, Takanori Maehara |
| 2020 | "Who doesn't like dinosaurs?" Finding and Eliciting Richer Preferences for Recommendation. | Tobias Schnabel, Gonzalo A. Ramos, Saleema Amershi |
| 2020 | Debiasing Item-to-Item Recommendations With Small Annotated Datasets. | Tobias Schnabel, Paul N. Bennett |
| 2020 | Incremental Graph of Sequential Interactions for Online Recommendation with Implicit Feedback. | Murilo Falleiros Lemos Schmitt, Eduardo Jaques Spinosa |
| 2020 | GPU Accelerated Feature Engineering and Training for Recommender Systems. | Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem |
| 2020 | Tutorial: Feature Engineering for Recommender Systems. | Benedikt Schifferer, Chris Deotte, Even Oldridge |
| 2020 | A Human Perspective on Algorithmic Similarity. | Zachary A. Schendel, Faraz Farzin, Siddhi Sundar |
| 2020 | Three Challenges in Building Industrial-Scale Recommender Systems. | Sebastian Schelter |