27 citations · 33 across the 5 of their papers we have counts for
5 papers
FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors
Hongxu Ma, Han Zhou, Chenghou Jin +5
Watch time has emerged as a pivotal metric for optimizing deep user engagement in short-video recommender systems. However, current methods of watch time prediction (WTP) suffer fr…
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
Yu-chen Fan, Yitong Ji, Jie Zhang +1
A typical benchmark dataset for recommender system (RecSys) evaluation consists of user-item interactions generated on a platform within a time period. The interaction generation m…
Retraining A Graph-based Recommender with Interests Disentanglement
Yitong Ji, Aixin Sun, Jie Zhang
In a practical recommender system, new interactions are continuously observed. Some interactions are expected, because they largely follow users' long-term preferences. Some other…
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
Danni Peng, Sinno Jialin Pan, Jie Zhang +1
Recommender Systems (RSs) in real-world applications often deal with billions of user interactions daily. To capture the most recent trends effectively, it is common to update the…
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
Yanshi Wang, Jie Zhang, Qing Da +1
Estimating post-click conversion rate (CVR) accurately is crucial in E-commerce. However, CVR prediction usually suffers from three major challenges in practice: i) data sparsity:…