From the 1 of 18 linked papers with an AI index.
18 papers
Personalized Communication Skills for Agentic Recommender Systems
Zongwei Wang, Min Gao, Guangyu Hu +2
Agentic recommender systems increasingly employ large language model-based UserAgents to evaluate candidate items through simulated feedback before recommendations are delivered. H…
Where Reasoning Matters: Rethinking Latent Reasoning in Semantic ID-based Generative Recommendation
Shangxin Yang, Min Gao, Zongwei Wang +1
The paper proposes a method to allocate latent reasoning steps in semantic ID‑based generative recommendation by using position‑wise information gain, giving more computation to to…
Generative Bid Shading in Real-Time Bidding Advertising
Yinqiu Huang, Hao Ma, Wenshuai Chen +7
Bid shading plays a crucial role in Real-Time Bidding (RTB) by adaptively adjusting the bid to avoid advertisers overspending. Existing mainstream two-stage methods, which first mo…
Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising
Sijia Li, Min Gao, Zongwei Wang +3
Sequential recommendation seeks to model the evolution of user interests by capturing temporal user intent and item-level transition patterns. Transformer-based recommenders demons…
Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
Yuchuan Zhao, Tong Chen, Junliang Yu +3
Large language model-powered sequential recommender systems (LLM-SRSs) have recently demonstrated remarkable performance, enabling recommendations through prompt-driven inference o…
Green-Red Watermarking for Recommender Systems
Lei Zhou, Min Gao, Zongwei Wang +2
The widespread open-sourcing of advanced recommendation algorithms and the rising threat of model extraction attacks have made safeguarding the intellectual property of recommender…