Bias and debias in recommender system: A survey and future directions

J Chen, H Dong, X Wang, F Feng, M Wang… - ACM Transactions on …, 2023 - dl.acm.org
While recent years have witnessed a rapid growth of research papers on recommender
system (RS), most of the papers focus on inventing machine learning models to better fit …

KuaiSim: A comprehensive simulator for recommender systems

K Zhao, S Liu, Q Cai, X Zhao, Z Liu… - Advances in …, 2023 - proceedings.neurips.cc
Reinforcement Learning (RL)-based recommender systems (RSs) have garnered
considerable attention due to their ability to learn optimal recommendation policies and …

REGROW: Reimagining global crowdsourcing for better human-AI collaboration

A Alorwu, S Savage, N van Berkel, D Ustalov… - CHI Conference on …, 2022 - dl.acm.org
Crowdworkers silently enable much of today's AI-based products, with several online
platforms offering a myriad of data labelling and content moderation tasks through …