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

Author:

Ren KanORCID,Zhang Weinan,Chang Ke,Rong Yifei,Yu Yong,Wang JunORCID

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

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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