RecSys Best Paper Awards
Since 2009, the best contributions to the annual ACM RecSys Conference were honored with awards.
2020
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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
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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
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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
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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
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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
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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
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Beyond Clicks: Dwell Time for Personalization
by X. Yi, L. Hong, E. Zhong, N. Nan Liu and S. Rajan (Best Paper)
2013
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A Fast Parallel SGD for Matrix Factorization in Shared Memory Systems
by Y. Zhuang, W. Chin, Y. Juan and C. Lin (Best Paper)
2012
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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
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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)
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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
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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)
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