recsys59

recsys 2021 论文列表

RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, Amsterdam, The Netherlands, 1 October 2021.

Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features.

Alexander Krauck David Penz Markus Schedl

Addressing the cold-start problem with a two-branch architecture for fair tweet recommendation.

Pere Gilabert Santi Seguí

Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment.

Luca Carminati Giacomo Lodigiani Pietro Maldini Samuele Meta Stiven Metaj Arcangelo Pisa Alessandro Sanvito Mattia Surricchio Fernando Benjamín Pérez Maurera Cesare Bernardis Maurizio Ferrari Dacrema

User Engagement Modeling with Deep Learning and Language Models.

Maksims Volkovs Felipe Pérez Zhaoyue Cheng Jianing Sun Sajad Norouzi Anson Wong Pawel Jankiewicz Barum Rho

Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model.

Michal Daniluk Jacek Dabrowski Barbara Rychalska Konrad Goluchowski

GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems.

Chris Deotte Bo Liu Benedikt Schifferer Gilberto Titericz

The 2021 RecSys Challenge Dataset: Fairness is not optional.

Luca Belli Alykhan Tejani Frank Portman Alexandre Lung-Yut-Fong Ben Chamberlain Yuanpu Xie Kristian Lum Jonathan Hunt Michael M. Bronstein Vito Walter Anelli Saikishore Kalloori Bruce Ferwerda Wenzhe Shi