[HTML][HTML] A survey on fairness-aware recommender systems

D Jin, L Wang, H Zhang, Y Zheng, W Ding, F Xia… - Information …, 2023 - Elsevier
As information filtering services, recommender systems have extremely enriched our daily
life by providing personalized suggestions and facilitating people in decision-making, which …

[Retracted] PCA and Binary K‐Means Clustering Based Collaborative Filtering Recommendation

X Li, H Peng, H Wang, Q Huang, Z Xu - Journal of Sensors, 2023 - Wiley Online Library
Aiming at the problem of similarity calculation error caused by the extremely sparse data in
collaborative filtering recommendation algorithm, a collaborative filtering recommendation …

HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback

X Cai, Z Guan, L Yuan, AS Aydin, T Xu, B Liu… - arXiv preprint arXiv …, 2025 - arxiv.org
Modern recommendation systems can be broadly divided into two key stages: the ranking
stage, where the system predicts various user engagements (eg, click-through rate, like rate …