RecSys Challenge

Keyphrases

Publications

2023

Chendi Xue, Xinyao Wang, Yu Zhou, Poovaiah Palangappa, Rita Brugarolas Brufau, Aasavari Dhananjay Kakne, Ravi Motwani, Ke Ding, Jian Zhang
Graph Enhanced Feature Engineering for Privacy Preserving Recommendation Systems. RecSys Challenge (2023)
Hyeonwoo Kim, Wonsung Lee
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation. RecSys Challenge (2023)
Yichao Lu, Maksims Volkovs
Robust User Engagement Modeling With Transformers and Self Supervision. RecSys Challenge (2023)
Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong
Large Scale CVR Prediction through Hierarchical History Modeling. RecSys Challenge (2023)
Taehee Kim, Seungyun Baek, Taehyeon Jeon, Hojin Jung, Joonhong Kim, Taeho Lee
Capturing Performance and Privacy by Assembling Avengers of Online Advertising. RecSys Challenge (2023)
Xingmei Wang, Yankai Wang, Defu Lian
A Simple and Robust Ensemble For Click-Through Rate Prediction. RecSys Challenge (2023)
Xiaoteng Shen, Liangcai Su, Zhutian Lin, Xiao Xi
A Simple yet Strong Approach for Installation Prediction in ShareChat Ads. RecSys Challenge (2023)
Jiawei Jiang, Bing Wang, Jingyuan Wang
Integrating Explicit and Implicit Feature Interactions for Online Ad Installation Forecasting. RecSys Challenge (2023)
Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori
RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. RecSys Challenge (2023)
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. RecSys Challenge (2023)
ACM RecSys Challenge 2023, Singapore, 19 September 2023 RecSys Challenge (2023)

2021

2020

2019

2018