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From the 1 of 18 linked papers with an AI index.

collaborators

18 papers

cs.IR2026

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…

cs.IR2026

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…

cs.GT2026

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…

cs.IR2026

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…

cs.IR2026

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…

cs.IR2026

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…