Knowledge Commons of Institute of Automation,CAS
A two-stage fuzzy budget allocation model in search auctions | |
Qin, Rui![]() ![]() ![]() ![]() | |
2014-10 | |
会议名称 | 2014 IEEE International Conference on Service Operations and Logistics, and Informatic |
会议录名称 | Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatic |
会议日期 | October 8-10, 2014 |
会议地点 | Qingdao, China |
摘要 |
Budget optimization is an important issue faced by advertisers in search auctions, and has significant impact on the design of various advertising strategies. Given a limited budget on a search market during a certain period, an advertiser has to distribute her budget to a series of sequential temporal slots (i.e., days, weeks, or months), during which advertisers must avoid the budget being used up quickly, so as to keep the budget for potential clicks with better performance in the future. Considering the optimal budgets over these temporal slots as fuzzy variables, we establish a two-stage fuzzy budget allocation model, and use particle swarm optimization (PSO) algorithm to solve it in case when these optimal budgets are characterized by discrete fuzzy variables. We also conduct experiments to validate our model and algorithm. The experimental results show that our model can outperform other five budget allocation strategies in terms of reducing the revenue loss of the advertiser. |
关键词 | Budget Optimization Budget Allocation Sponsored Search Auctions Two-stage Fuzzy Programming Pso |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11572 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Rui Qin |
推荐引用方式 GB/T 7714 | Qin, Rui,Yuan, Yong,Li, Juanjuan,et al. A two-stage fuzzy budget allocation model in search auctions[C],2014. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
qin.pdf(546KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论