| 2020 | Making Session-based News Recommenders Diversity-aware. | Alireza Gharahighehi, Celine Vens |
| 2020 | TexTrolls: Identifying Trolls on Twitter with Textual and Affective Features. | Bilal Ghanem, Davide Buscaldi, Paolo Rosso |
| 2020 | Counteracting Bias and Increasing Fairness in Search and Recommender Systems. | Ruoyuan Gao, Chirag Shah |
| 2020 | Tutorial on Conversational Recommendation Systems. | Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang |
| 2020 | Combining Models for Better User Satisfaction in Video Recommendation. | Josef Florian, Jakub Drdk, Radek Tomsu, Karel Koupil, Vclav Blahut, Jaroslav Kuchar, Michal Rehor |
| 2020 | Investigating Multimodal Features for Video Recommendations at Globoplay. | Felipe Ferreira, Daniele R. Souza, Igor Moura, Matheus Barbieri, Hlio Crtes Vieira Lopes |
| 2020 | Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. | Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra |
| 2020 | Exploring Longitudinal Effects of Session-based Recommendations. | Andres Ferraro, Dietmar Jannach, Xavier Serra |
| 2020 | Recommender Systems and Misinformation: The Problem or the Solution? | Miriam Fernndez, Alejandro Bellogn |
| 2020 | Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction. | Nicol Felicioni, Andrea Donati, Luca Conterio, Luca Bartoccioni, Davide Yi Xian Hu, Cesare Bernardis, Maurizio Ferrari Dacrema |
| 2020 | Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. | Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth |
| 2020 | Learning Representations of Hierarchical Slates in Collaborative Filtering. | Ehtsham Elahi, Ashok Chandrashekar |
| 2020 | 3rd FAccTRec Workshop: Responsible Recommendation. | Michael D. Ekstrand, Pierre-Nicolas Schwab, Jean Garcia-Gathright, Toshihiro Kamishima, Nasim Sonboli |
| 2020 | Counterfactual learning for recommender system. | Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen |
| 2020 | Botcha: Detecting Malicious Non-Human Traffic in the Wild. | Sunny Dhamnani, Ritwik Sinha, Vishwa Vinay, Lilly Kumari, Margarita Savova |
| 2020 | Developing Recommendation System to provide a Personalized Learning experience at Chegg. | Sanghamitra Deb |
| 2020 | Intelligent Recommendations for Citizen Science. | Naama Dayan, Kobi Gal, Avi Segal, Guy Shani, Darlene Cavalier |
| 2020 | Reducing energy waste in households through real-time recommendations. | Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare, Magdalini Eirinaki, Iraklis Varlamis |
| 2020 | HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation. | Qiang Cui, Tao Wei, Yafeng Zhang, Qing Zhang |
| 2020 | Deploying a Cost-Effective and Production-Ready Deep News Recommender System in the Media Crisis Context. | Jean-Philippe Corbeil, Florent Daudens |
| 2020 | DRecPy: A Python Framework for Developing Deep Learning-Based Recommenders. | Fbio Colao, Mrcia Barros, Francisco M. Couto |
| 2020 | Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation. | Yagmur Gizem Cinar, Jean-Michel Renders |
| 2020 | Deconfounding User Satisfaction Estimation from Response Rate Bias. | Konstantina Christakopoulou, Madeleine Traverse, Trevor Potter, Emma Marriott, Daniel Li, Chris Haulk, Ed H. Chi, Minmin Chen |
| 2020 | MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. | Sung Min Cho, Eunhyeok Park, Sungjoo Yoo |
| 2020 | PodRecs: Workshop on Podcast Recommendations. | Ching-Wei Chen, Longqi Yang, Hongyi Wen, Rosie Jones, Vladan Radosavljevic, Hugues Bouchard |