4 papers · 1 filter
Learning to Allocate Incentives for Incentivized Advertising via Offline Model-Based Reinforcement Learning
Zilin Zhao, Han Yang, Tianpei Yang +7
Complete your ad view and grab a 5-cent bonus! In incentivized advertising, a platform promises users a bonus before observing downstream ad revenue, encouraging them to click and…
UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent
Xinxun Zhang, Yuling Xiong, Yangru Huang +14
Generative Recommendation (GR) reformulates recommendation as next-token generation over item Semantic IDs (SIDs) and has shown promise in industrial applications. However, extendi…
OneRanker: Unified Generation and Ranking with One Model in Industrial Advertising Recommendation
Dekai Sun, Yiming Liu, Jiafan Zhou +6
The end-to-end generative paradigm is revolutionizing advertising recommendation systems, driving a shift from traditional cascaded architectures towards unified modeling. However,…
RELATE: A Reinforcement Learning-Enhanced LLM Framework for Advertising Text Generation
Jinfang Wang, Jiajie Liu, Jianwei Wu +8
In online advertising, advertising text plays a critical role in attracting user engagement and driving advertiser value. Existing industrial systems typically follow a two-stage p…