| 2020 | ImRec: Learning Reciprocal Preferences Using Images. | James Neve, Ryan McConville |
| 2020 | Featuristic: An interactive hybrid system for generating explainable recommendations - beyond system accuracy. | Sidra Naveed, Jrgen Ziegler |
| 2020 | Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems. | Cataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2020 | Developing Work in Confidence, Similarity Structure, and Modeling User Event Time. | Jacob Munson |
| 2020 | Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning. | Oleksii Moskalenko, Diego Sez-Trumper, Denis Parra |
| 2020 | RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues. | Tho Moins, Daniel Aloise, Simon J. Blanchard |
| 2020 | Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. | Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier |
| 2020 | Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. | Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin |
| 2020 | "Don't Judge a Book by its Cover": Exploring Book Traits Children Favor. | Ashlee Milton, Levesson Batista, Garrett Allen, Siqi Gao, Yiu-Kai Ng, Maria Soledad Pera |
| 2020 | ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. | Fei Mi, Xiaoyu Lin, Boi Faltings |
| 2020 | BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. | Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang |
| 2020 | Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. | Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2020 | 4 Reasons Why Social Media Make Us Vulnerable to Manipulation. | Filippo Menczer |
| 2020 | Personality Bias of Music Recommendation Algorithms. | Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl |
| 2020 | Investigating Listeners' Responses to Divergent Recommendations. | Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette |
| 2020 | Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions. | Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas |
| 2020 | Beyond algorithms: Ranking at scale at Booking.com. | Themis Mavridis, Soraya Hausl, Andrew Mende, Roberto Pagano |
| 2020 | In-Store Augmented Reality-Enabled Product Comparison and Recommendation. | Jess Omar lvarez Mrquez, Jrgen Ziegler |
| 2020 | Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System. | Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan |
| 2020 | Long-tail Session-based Recommendation. | Siyi Liu, Yujia Zheng |
| 2020 | A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit. | Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan |
| 2020 | KRED: Knowledge-Aware Document Representation for News Recommendations. | Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie |
| 2020 | A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems. | Hanze Li, Scott Sanner, Kai Luo, Ga Wu |
| 2020 | PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. | Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin |
| 2020 | Moderation Meets Recommendation: Perspectives on the Role of Policies in Harm-Aware Recommender Ecosystems - Abstract. | Martha A. Larson |