16 citations · 22 across the 4 of their papers we have counts for
4 papers
CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling
Mingyu Zhao, Haoran Bai, Yu Tian +2
Customer Lifetime Value (LTV) prediction, a central problem in modern marketing, is characterized by a unique zero-inflated and long-tail data distribution. This distribution prese…
Multi-Scenario Ranking with Adaptive Feature Learning
Yu Tian, Bofang Li, Si Chen +6
Recently, Multi-Scenario Learning (MSL) is widely used in recommendation and retrieval systems in the industry because it facilitates transfer learning from different scenarios, mi…
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation
Yu Tian, Jianxin Chang, Yannan Niu +2
Sequential recommendation aims at identifying the next item that is preferred by a user based on their behavioral history. Compared to conventional sequential models that leverage…
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
Yiyu Liu, Qian Liu, Yu Tian +4
Recently, micro-video sharing platforms such as Kuaishou and Tiktok have become a major source of information for people's lives. Thanks to the large traffic volume, short video li…