3 papers
cs.IR2026
TubiFM: Unified Item, Carousel, and Search Ranking for Streaming Discovery
Alexandre Salle, Chenglei Niu, Suchismit Mahapatra +7
Personalized discovery systems often train separate models for item ranking, carousel ranking, and search, even though these tasks expose complementary signals from the same viewer…
cs.LG2025
Tweedie Regression for Video Recommendation System
Yan Zheng, Qiang Chen, Chenglei Niu
Modern recommendation systems aim to increase click-through rates (CTR) for better user experience, through commonly treating ranking as a classification task focused on predicting…
stat.ML2018
Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction
Chenglei Niu, Guojing Zhong, Ying Liu +4
With the rapid development of online advertising and recommendation systems, click-through rate prediction is expected to play an increasingly important role.Recently many DNN-base…