5 papers · 1 filter
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…
Uncertainty Modeling for Multi-Objective RTA Interception with Distillation Acceleration
Gaoxiang Zhao, Ruinan Qiu, Xiaoting Wang +4
Real-Time Auction (RTA) interception decides which incoming advertising requests reach downstream systems, and therefore controls the quality of the data those systems learn from.…
Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification
Jiale Han, Chun Gan, Chengcheng Zhang +4
Auto-bidding systems are widely used in advertising to automatically determine bid values under constraints such as total budget and Return-on-Spend (RoS) targets. Existing works o…
Generative Modeling with Multi-Instance Reward Learning for E-commerce Creative Optimization
Qiaolei Gu, Yu Li, DingYi Zeng +6
In e-commerce advertising, selecting the most compelling combination of creative elements -- such as titles, images, and highlights -- is critical for capturing user attention and…
Generative Click-through Rate Prediction with Applications to Search Advertising
Lingwei Kong, Lu Wang, Changping Peng +3
Click-Through Rate (CTR) prediction models are integral to a myriad of industrial settings, such as personalized search advertising. Current methods typically involve feature extra…