RecSys Best Paper Awards

Since 2009, the best contributions to the annual ACM RecSys Conference were honored with awards.

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)

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)

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)

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)

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)

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)

Beyond Clicks: Dwell Time for Personalization
by X. Yi, L. Hong, E. Zhong, N. Nan Liu and S. Rajan (Best Paper)

A Fast Parallel SGD for Matrix Factorization in Shared Memory Systems
by Y. Zhuang, W. Chin, Y. Juan and C. Lin (Best Paper)

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)

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)

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)

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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