G
Guang Qiu
Researcher at Alibaba Group
Publications - 4
Citations - 80
Guang Qiu is an academic researcher from Alibaba Group. The author has contributed to research in topics: Real-time bidding & User experience design. The author has an hindex of 2, co-authored 4 publications receiving 53 citations.
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Proceedings ArticleDOI
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
TL;DR: In this article, a reinforcement learning (RL) solution was proposed for handling the complex dynamic environment in sponsored search auction, named SS-RTB, where the state transition probabilities vary between two days.
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Deep Reinforcement Learning for Sponsored Search Real-time Bidding
TL;DR: In this paper, a reinforcement learning (RL) solution was proposed for handling the complex dynamic environment in sponsored search auction, named SS-RTB, where the state transition probabilities vary between two days.
Proceedings ArticleDOI
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning
Wei Zhao,Boxuan Zhang,Beidou Wang,Ziyu Guan,Wanxian Guan,Guang Qiu,Wei Ning,Jiming Chen,Hongmin Liu +8 more
TL;DR: Zhang et al. as discussed by the authors proposed to manipulate ad titles by adding a few selling point keywords (SPs) to attract query users to click product advertisements (ads) by presenting them features of products that attract them.
Posted Content
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning
Wei Zhao,Boxuan Zhang,Beidou Wang,Ziyu Guan,Wanxian Guan,Guang Qiu,Wei Ning,Jiming Chen,Hongmin Liu +8 more
TL;DR: This work model it as a personalized attractive SP prediction problem and carry out both large-scale offline evaluation and online A/B tests in Taobao, leading to a 2% increase in revenue per thousand impressions and an opt-out rate of merchants less than 4%.