![](https://cdn.statically.io/img/recsys.acm.org/wp-content/uploads/2013/12/honors-best-papers.jpg)
RecSys Best Paper Awards
Since 2009, the best contributions to the annual ACM RecSys Conference were honored with awards.
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)