13 citations
3 papers
cs.LG2025
Inference Time Feature Injection: A Lightweight Approach for Real-Time Recommendation Freshness
Qiang Chen, Venkatesh Ganapati Hegde, Hongfei Li
Many recommender systems in long-form video streaming reply on batch-trained models and batch-updated features, where user features are updated daily and served statically througho…
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…
cs.IR2023★ 13 cited
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata
Saurabh Agrawal, John Trenkle, Jaya Kawale
Content metadata plays a very important role in movie recommender systems as it provides valuable information about various aspects of a movie such as genre, cast, plot synopsis, b…