action-aware modeling 1generative networks 1sequence modeling 1short video recommendation 1temporal user behavior 1
From the 1 of 7 papers with an AI index.
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- Beihang UniversityCN1 paper
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- Hong Kong Polytechnic UniversityHK1 paper
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- Renmin University of ChinaCN1 paper
- Shanghai Jiao Tong UniversityCN1 paper
- Shanghai University of Finance and EconomicsCN1 paper
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cs.AI2026
Action-Aware Generative Sequence Modeling for Short Video Recommendation
Wenhao Li, Zihan Lin, Zhengxiao Guo +7
The paper proposes a new recommendation model, A2Gen, that treats user actions on short videos as temporal sequences and uses attention and hierarchical encoding to predict future…
cs.AI2026
HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising
Ji Wu, Yunshan Peng, Wentao Bai +5
Online advertising bidding systems typically deploy multiple offline-trained expert models (e.g., PID controllers, model predictive control, offline RL policies) but face two criti…
cs.AI2026
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…