3 papers
cs.LG2024
Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
Yang Zhao, Chang Zhou, Jin Cao +4
This paper explores multi-scenario optimization on large platforms using multi-agent reinforcement learning (MARL). We address this by treating scenarios like search, recommendatio…
cs.CV2024
Research on Driver Facial Fatigue Detection Based on Yolov8 Model
Chang Zhou, Yang Zhao, Shaobo Liu +3
In a society where traffic accidents frequently occur, fatigue driving has emerged as a grave issue. Fatigue driving detection technology, especially those based on the YOLOv8 deep…
cs.IR2024
Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
Chang Zhou, Yang Zhao, Yuelin Zou +4
This paper proposes new methods to enhance click-through rate (CTR) prediction models using the Deep Interest Network (DIN) model, specifically applied to the advertising system of…