Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising-Reference-Cited by-同舟云学术

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Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising

Published:2018-04-01 Issue:4 Volume:30 Page:645-659
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Ren Kan^ORCID,Zhang Weinan,Chang Ke,Rong Yifei,Yu Yong,Wang Jun^ORCID

Funder

Shanghai Sailing Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/8307217/08115218.pdf?arnumber=8115218

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Optimization with Adaptive Heuristics for Intelligent Marketing System;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning;IEEE Internet of Things Journal;2024-08-01

3. Visual Explanation for Advertising Creative Workflow;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-02

4. Imagine and Imitate: Cost-Effective Bidding under Partially Observable Price Landscapes;Big Data and Cognitive Computing;2024-04-28

5. Multi-party Auction-based Incentive Mechanism of Data Market in Mobile Crowdsourcing;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

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