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基于转化的互联网广告技术研究 被引量:2

A Survey of Conversion-based Internet Advertising Model
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摘要 基于转化的互联网广告方式根据用户在浏览广告后的购买等行为对广告效果进行衡量,极大利用了互联网广告的独特优势,成为了未来互联网广告发展的趋势。该文介绍了基于转化的互联网广告的运行方式,分析了其行业应用,进一步地总结了该领域的当前研究成果,包括基于转化的竞价机制设计、转化率预测、基于转化的广告排序等。最后在此基础上,分析了存在的问题并展望未来的研究方向。 The conversion-based advertising, which evaluateseffeetiveness of an advertisement and ehargesaccording to conversion occurred after a user viewed theadvertisement, leverages the unique power of Internet Advertising, and becomes the trend for future development of Internet Advertising. This paper introduces the scheme of the con- version-based advertising, analyzes its industrial application, and summarizes the researches on this field, including auction mechanism for CPA advertising, conversion rate estimation, conversion-based ad ranking, etc. Finally we analyze the existing problem and present the directions for further study.
出处 《中文信息学报》 CSCD 北大核心 2014年第2期151-158,共8页 Journal of Chinese Information Processing
基金 国家自然科学基金(61070111)
关键词 互联网广告 转化率 按行动付费广告 internet advertising conversion rate cost-per-action advertising
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  • 1Choi Y, Fontoura M, Gabrilovich E, et al. Using landing pages for sponsored search ad selection[C]// Proceedings of the 19th international conference on World wide web. 2010:251-260.
  • 2Graepel T, Candela J, Borchert T, et al. Web-scale Bayesian click-through rate prediction for sponsored search advertising in Microsoft's Bing search engine [C]//Proceedings of the Twenty-Seventh Interna- tional Conference on Machine Learning (ICML-10). 2010:13-20.
  • 3Bagherjeiran A, Hatch A, Ratnaparkhi A. Ranking for the conversion funnel[C]//Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval. 2010:146-153.
  • 4Rutz O, Bucklin R. A model of individual keyword performance in paid search advertising[OL]. 2007. http://papers, ssrn. com/sol3/papers, cfm? abstract id= 1024765.
  • 5Raghavan H, Iyer R. Probabilistic first pass retrieval for search advertising: From theory to praetiee[C]// Proceedings of the 19th ACM international conference on Information and knowledge management. 2010: 1019-1028.
  • 6Nazerzadeh H, Saberi A, Vohra R. Dynamic cost- per-action mechanisms and applications to online ad- vertising[C]//Proceeding of the 17th international conference on World Wide Web. 2008 : 179-188.
  • 7Penenberg A. Click fraud threatens web[N]. Wired News, 2004, October.
  • 8Hillard D, Manavoglu E, Raghavan H, et al. The sum of its parts: reducing sparsity in click estimation with query segments [J]. Information Retrieval, 2011 : 1-22.
  • 9Shaparenko B, Getin O, Iyer R. Data-driven text fea- tures for sponsored search click prediction[C]//Pro- ceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising. 2009 : 46-54.
  • 10Richardson M, Dominowska E, Ragno R. Predicting clicks: estimating the click-through rate for new ads [C]//Proceedings of the 16th international conference on World Wide Web. 2007:521-530.

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