Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion

19 February 2022

Papers citing "Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion"

7 / 7 papers shown

Title
Vague Preference Policy Learning for Conversational Recommendation Gangyi Zhang Chongming Gao Wenqiang Lei Xiaojie Guo Shijun Li Hongshen Chen Zhuozhi Ding Sulong Xu Lingfei Wu 89 1 0 24 Feb 2025
Large-scale Interactive Recommendation with Tree-structured Policy Gradient Haokun Chen Xinyi Dai Han Cai Weinan Zhang Xuejian Wang Ruiming Tang Yuzhou Zhang Yong Yu 54 140 0 14 Nov 2018
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 63 1,549 0 01 Nov 2018
Deep Reinforcement Learning for Sepsis Treatment Aniruddh Raghu Matthieu Komorowski Imran Ahmed Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 57 172 0 27 Nov 2017
Real-Time Bidding by Reinforcement Learning in Display Advertising Han Cai Kan Ren Weinan Zhang Kleanthis Malialis Jun Wang Yong Yu Defeng Guo 50 246 0 10 Jan 2017
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 54 573 0 24 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 252 13,174 0 09 Sep 2015