RecSys Challenge Winners
Since 2010, there have been various challenges in conjunction with the annual ACM RecSys Conference.
2023
Winners of RecSys Challenge 2023:
- Academia: Paolo Basso, Arturo Benedetti , Nicola Cecere, Alessandro Maranelli, Salvatore Marragony, Samuele Peri, Andrea Riboni, Alessandro Verosimile, Davide Zanutto, Maurizio Ferrari Dacrema
Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation - Industry: Yichao Lu, Maksims Volkovs
Robust User Engagement Modeling With Transformers and Self Supervision
2022
- Winners of RecSys Challenge 2022:
Zzh, Wei Zhang and Tao Wen
Industrial Solution in Fashion-domain Recommendation by an Efficient Pipeline using GNN and Lightgbm
2021
- Winners of RecSys Challenge 2021, General Leaderboard:
C. Deotte, B. Liu, B. Schifferer, G. Tittericz
GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems - Winners of RecSys Challenge 2021, Academic Leaderboard:
L. Carminati, G. Lodigiani, P. Maldini, S. Meta, S. Metaj, A. Pisa, A. Sanvito, M. Surricchio, F. Bpérez Maurea, C. Bernardis, M. Ferrari Dacrema
Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment
2020
- Winners of RecSys Challenge 2020:
B. Schifferer, G. Titericz, C. Deotte, C. Henkel, K. Onodera, J. Liu, B. Tunguz, E. Oldridge, G. De Souza Pereira Moreira and A. Erdem
GPU Accelerated Feature Engineering and Training for Recommender Systems
2019
- Winners of RecSys Challenge 2019:
P. Jankiewicz, L. Kyrashchuk, P. Sienkowski, M. Wójcikr
Boosting Algorithms for a Session-based, Context-Aware Recommender System in Online Travel Domain
2018
- Winners of RecSys Challenge 2018:
M. Volkovs, H. Rai, Z. Cheng, G. Wu, Y. Lu, S. Sanner
Two-stage Model for Automatic Playlist Continuation at Scale
2017
- Winners of RecSys Challenge 2017:
M. Volkovs, G. W. Yu, T. Poutanen
Content-based Neighbor Models for Cold Start in Recommender Systems
2016
- Winners of RecSys Challenge 2016:
W. Xiao, X. Xu, K. Liang, J. Mao and J. Wang
Job Recommendation with Hawkes Process
2015
- Winners of RecSys Challenge 2015:
P. Romov and E. Sokolov
Ensemble Learning with Categorical Features
2014
- Winners of RecSys Challenge 2014: User Engagement as Evaluation:
F. Guillou, R. Gaudel, J. Mary and P. Preux
User Engagement as Evaluation: A Ranking or a Regression Problem?
2013
- Winners of RecSys Challenge 2013: Yelp Business Rating Prediction:
Y. Zhang, L. Shi, L. Pang, X. Liu, Q. Li, H. Sun, L. Liu and B. Wangy
Blending of Diverse Models for Business Rating Prediction with Cold Start Problem
2012
- no winner
2011
- Winners of the CAMRa 2011 Challenge:
J. Bento, N. Fawaz, A. Montanari and S. Ioannidis
Identifying Users From Their Rating Patterns
2010
- Winners of the CAMRa 2010 Challenge:
Y. Shi, M. Larson, A. Hanjalic
Mining Mood-specific Movie Similarity with Matrix Factorization for Context-aware Recommendation
