5 papers · 1 filter
Traffic State Prediction and Control Using a Koopman Operator Framework with Polynomial Observables
Shakib Mustavee, Arvind Singh, Shaurya Agarwal
In this paper, we develop a Koopman operator framework for modeling and control of traffic flow governed by the Lighthill--Whitham--Richards (LWR) conservation law. We show that th…
LACRM: LLM-Guided Mining of Directed Advertiser Competition Relationships in E-Commerce Advertising
Xiang Shi, Yitian Kou, Bing Li +6
In e-commerce advertising, ad platforms typically fail to model the externalities among advertisers when making optimization decisions: an advertiser's actual performance is largel…
LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations
Yan Fang, Jialin Chen, Chun Gan +5
LLM-native advertising embeds sponsored content directly into model-generated responses, shifting the unit of sale from a fixed slot to a moment within an evolving conversation. Ex…
JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing
Linghui Meng, Chun Gan, Shengsheng Niu +8
Auto-bidding services optimize real-time bidding strategies for advertisers under key performance indicator (KPI) constraints such as target return on investment and budget. Howeve…
RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
Hui Wang, Tianzhu Hu, Mingming Li +6
Recommender systems are inherently dynamic feedback loops where prolonged local interactions accumulate into macroscopic structural degradation such as information cocoons. Existin…