Bias and debias in recommender system: A survey and future directions
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 …
system (RS), most of the papers focus on inventing machine learning models to better fit …
KuaiSim: A comprehensive simulator for recommender systems
Reinforcement Learning (RL)-based recommender systems (RSs) have garnered
considerable attention due to their ability to learn optimal recommendation policies and …
considerable attention due to their ability to learn optimal recommendation policies and …
REGROW: Reimagining global crowdsourcing for better human-AI collaboration
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 …
platforms offering a myriad of data labelling and content moderation tasks through …