RecSys Best Paper Awards
Since 2009, the best contributions to the annual ACM RecSys Conference were honored with awards.
2025
- You Don’t Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control
by Giovanni De Toni, Erasmo Purificato, Emilia Gomez, Andrea Passerini, Bruno Lepri, Cristian Consonni (Best Full Paper) - Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems
by Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle (Best Short Paper)
2024
- Towards Empathetic Conversational Recommender Systems
by Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke and Zhaochun Ren (Best Full Paper) - The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
by Guy Aridor, Duarte Goncalves, Ruoyan Kong, Daniel Kluver and Joseph Konstan (Best Short Paper) - Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data
by Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song and Li Chen (Best Student Paper)
2023
- gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
by Aleksandr V. Petrov and Craig Macdonald (Best Full Paper) - Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
by Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong and Irene Li (Best Full Paper Runner-Up) - Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation
by Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang and Zhong Ming (Best Full Paper Runner-Up) - Interpretable User Retention Modeling in Recommendation
by Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou and Leyu Lin (Best Short Paper) - Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering
by Martin Spišák, Radek Bartyzal, Antonín Hoskovec, Ladislav Peška and Miroslav Tůma (Best Short Paper Runner-Up) - Of Spiky SVDs and Music Recommendation
by Darius Afchar, Romain Hennequin and Vincent Guigue (Best Short Paper Runner-Up)
2022
- Exploring the longitudinal effects of nudging on users’ music genre exploration behavior and listening preferences
by Yu Liang and Martijn C. Willemsen (Best Student Paper) - Modelling Two-Way Selection Preference for Person-Job Fit
by Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen and Wayne Xin Zhao (Best Student Paper Runner-up) - Denoising Self-Attentive Sequential Recommendation
by Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang and Hao Yang (Best Paper) - RADio – Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations
by Sanne Vrijenhoek, Gabriel Bénédict, Mateo Gutierrez, Daan Odijk and Maarten de Rijke (Best Paper Runner-up) - RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data
by Lien Michiels, Robin Verachtert and Bart Goethals (Best Demo)
2021
- An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
by Matus Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Robert Moro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, and Maria Bielikova (Best Paper) - Pessimistic Reward Models for Off-Policy Learning in Recommendation
by Olivier Jeunen and Bart Goethals (Best Student paper) - Connecting Students with Research Advisors Through User-Controlled Recommendation
by Behnam Rahdari, Peter Brusilovsky, and Alireza Javadian Sabet (Best Demo)
2020
- Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations
by H. Tang, J. Liu, M. Zhao, X. Gong (Best Long Paper) - Exploiting Performance Estimates for Augmenting Recommendation Ensembles
by G. Penha, R. L. T. Santos (Best Long Paper Runner-up) - ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
by F. Mi, X. Lin, B. Faltings (Best Short Paper)
2019
- Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
by M. Ferrari Dacrema, P. Cremonesi, D. Jannach (Best Long Paper) - Pace My Race: Recommendations for Marathon Running
by J. Berndsen, B. Smyth, A. Lawlor (Best Short Paper) - Quick and Accurate Attack Detection in Recommender Systems through User Attributes
by M. Aktukmak, Y. Yilmaz, I. Uysal (Honorable Mention Short Paper)
2018
- Causal Embeddings for Recommendation
by S. Bonner, F. Vasile (Best Long Paper) - Generation Meets Recommendation: Proposing Novel Items for Groups of Users
by T. V. Vo, H. Soh (Best Long Paper Runner-up) - Impact of Item Consumption on Assessment of Recommendations in User Studies
by B. Loepp, T. Donkers, T. Kleemann, J. Ziegler (Best Short Paper) - HOP-rec: High-order Proximity for Implicit Recommendation
by J.-H. Yang, C.-M. Chen, C.-J. Wang, M.-F. Tsai (Best Short Paper Runner-up)
2017
- Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations
by X. Zhang, J. Zhao, J.C.S. Lui (Best Paper) - Translation-based Recommendation
by R. He, W.-C. Kang, J. McAuley (Best Paper Runner-up)
2016
- Local Item-Item Models for Top-N Recommendation
by E. Christakopoulou and G. Karypis (Best Paper) - Adaptive, Personalized Diversity for Visual Discovery
by C. H. Teo, H. Nassif, D. Hill, S. Srinivasan, M. Goodman, V. Mohan and S. V. N. Vishwanathan (Best Short Paper)
2015
- Context-Aware Event Recommendation in Event-based Social Networks
by A. Macedo, L. Marinho and R. Santos (Best Paper) - Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates
by E. Daly, M. Berlingerio and F. Schnitzler (Best Short Paper)
2014
- Beyond Clicks: Dwell Time for Personalization
by X. Yi, L. Hong, E. Zhong, N. Nan Liu and S. Rajan (Best Paper)
2013
- A Fast Parallel SGD for Matrix Factorization in Shared Memory Systems
by Y. Zhuang, W. Chin, Y. Juan and C. Lin (Best Paper)
2012
- CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering
by Y. Shi, A. Karatzoglou, L. Baltrunas, M. Larson, N. Oliver and A. Hanjalic (Best Paper) - Using Graph Partitioning Techniques for Neighbour Selection in User-Based Collaborative Filtering
by A. Bellogin and J. Parapar (Best Short Paper) - Alternating Least Squares for Personalized Ranking
by G. Takács and D. Tikk (Honorable Mention) - Ranking With Non-Random Missing Ratings: Influence Of Popularity And Positivity on Evaluation Metrics
by B. Pradel, N. Usunier and P. Gallinari (Honorable Mention)
2011
- OrdRec: An Ordinal Model for Predicting Personalized Item Rating Distributions
by Y. Koren and J. Sill (Best Paper) - Utilizing Related Product for Post-Purchase Recommendation in E-commerce
by J. Wang, B. Sarwar and N. Sundaresan (Best Short Paper)
2010
- A Matrix Factorization Technique with Trust Propagation for Recommendation in Social Networks by M. Jamali and M. Ester (Best Paper)
- Merging Multiple Criteria to Identify Suspicious Reviews
by G. Wu, D. Greene and P. Cunningham (Best Short Paper) - The Network Effects of Recommending Social Connections
by E. Daly, W. Geyer and D. Millen (Best Short Paper)
2009
- Collaborative Prediction and Ranking with Non-Random Missing Data
by B. Marlin and R. Zemel (Best Paper) - Understanding the Effect of Adaptive Preference Elicitation Methods on User Satisfaction of a Recommender System
by B. Knijnenburg and M. Willemsen (Best Short Paper)