10 citations · 13 across the 5 of their papers we have counts for
5 papers
LLM-Auction: Generative Auction towards LLM-Native Advertising
Chujie Zhao, Qun Hu, Shiping Song +4
The commercialization of LLM applications is the next frontier in online advertising, with LLM-native advertising emerging as a promising paradigm by integrating ads into LLM-gener…
Contextual Generative Auction with Permutation-level Externalities for Online Advertising
Ruitao Zhu, Yangsu Liu, Dagui Chen +7
Online advertising has become a core revenue driver for the internet industry, with ad auctions playing a crucial role in ensuring platform revenue and advertiser incentives. Tradi…
Hierarchically Constrained Adaptive Ad Exposure in Feeds
Dagui Chen, Qi Yan, Chunjie Chen +6
A contemporary feed application usually provides blended results of organic items and sponsored items~(ads) to users. Conventionally, ads are exposed at fixed positions. Such a sta…
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
Xiangyu Liu, Chuan Yu, Zhilin Zhang +10
In e-commerce advertising, it is crucial to jointly consider various performance metrics, e.g., user experience, advertiser utility, and platform revenue. Traditional auction mecha…
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds
Dagui Chen, Junqi Jin, Weinan Zhang +7
Most e-commerce product feeds provide blended results of advertised products and recommended products to consumers. The underlying advertising and recommendation platforms share si…