no code implementations • 8 Jun 2021 • Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng
Although a few studies use multi-agent reinforcement learning to set up a cooperative game, they still suffer the following drawbacks: (1) They fail to avoid collusion solutions where all the advertisers involved in an auction collude to bid an extremely low price on purpose.
no code implementations • 24 Jul 2019 • Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu
(2) It is difficult to obtain users' explicit feedback of their preference in product features.
1 code implementation • 24 Jul 2019 • Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He
In this work, we collect abundant relationships from common user behaviors and item information, and propose a novel framework named IntentGC to leverage both explicit preferences and heterogeneous relationships by graph convolutional networks.
no code implementations • 1 Mar 2018 • Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He
In this paper, we consider the RTB problem in sponsored search auction, named SS-RTB.