Research on the mechanism design and measure of quality for online advertising in consideration of reputation

Abstract

Abstract: How to get the maximum profit with online advertising is the most concern issue for advertisers. However, only pursuing the Click Through Rate maybe can not bring the maximum profit, which even induces huge amounts of network fraud information and fraudulent transaction. Considering the factors of the advertisers’ reputation, matching degree of product and clicking value, based on the mechanism design theory, an optimal launching mechanism for online advertising was proposed here, Further, the quality measure of advertise launching was calculated based on our mechanism. Through the final simulation testing and visual analysis, it was shown that our mechanism considering reputation has superiority on the launching efficiency.

Key words: online advertising, mechanism design, advertiser reputation, measure of quality

CLC Number:

TP391，C391

YIN Hong, XU Yan-ru, WANG Chang-bo. Research on the mechanism design and measure of quality for online advertising in consideration of reputation[J]. Journal of East China Normal University(Natural Sc, 2013, 2013(3): 60-69.

References

［1］ AGGARWAL C C, WOLF J L, YU P S. A Framework for the Optimizing of WWW Advertising［M］. Trends in Distributed Systems for Electronic Commerce, LNCS 1402, 1998: 1-10.

［2］罗枫.论网络媒介细分与网络广告投放的人性化［J］. 中国西部科技, 2004(5): 23-24.

［3］孙涛. 网络广告系统的用户行为定向研究［D］. 上海：复旦大学, 2007.

［4］ ADOMAVICIUS G, TUZHILIN A. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions［J］. IEEE Trans on Knowledge and Data Eng, 2005, 17(6): 734-749.

［5］蔡伟杰，张晓晖，朱建秋等. 关联规则挖掘综述［J］. 计算机工程, 2001, 27(5): 31-33.

［6］ LEE J, JUN C H, LEE J, et al. Classification-based collaborative filtering using market basket data［J］. Expert Systems with Applications, 2005, 29(3): 700-704.

［7］ PAPAGELIS M, PLEXOUSAKIS D. Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents［J］. Engineering Applications of Artificial Intelligence, 2005. 18(7): 781-789.

［8］ HAN J, PEI J, YIN Y. Mining frequent patterns without candidate generation［C］//ACM SIGMOD-International Conference on Management of Data, 2000, Dallas, TX.

［9］朱艳春, 刘鲁, 张巍. 在线信誉系统中的信任模型构建研究［J］. 控制与决策, 2007, 22(4): 413-417.

［10］李维安,吴德胜, 徐皓. 网上交易中的声誉机制——来自淘宝网的证据［J］. 南开管理评论, 2007, 10(5): 36-46.

［11］张仙锋.信誉的价值:基于淘宝数据对我国电子市场的特色解释［J］. 当代经济科学, 2009, 31(3): 30-39.

［12］ EDELMAN B, OSTROVSKY M, SCHWARZ M. Internet advertising and the generalized second price auction: selling billions of dollars worth of keywords［J］. American Economic Review, 2007, 97(1): 242-259.

［13］ VARIAN H R. Position auctions［J］. International Journal of Industrial Organization, 2007, 25: 1163-1178.

［14］ GARG D, NARAHARI Y, REDDY S S. Design of an Optimal Auction for Sponsored Search Auction［C］//9th IEEE International Conference on E-Commerce Technology and Enterprise Computing, E-Commerce and E-Services (CEC-EEE 2007), 2007: 439-442.

［15］卫强, 阮楠, 单艺. 网络展示广告位置对点击率影响的实证研究［J］. 信息系统学报, 2010, 4(1): 43-52.

［16］童强. 搜索引擎关键字广告点击率与保留价研究［D］. 大连：大连理工大学, 2011.

［17］姜晖, 王浣尘, 高朝伟. 基于DIT理论建模的付费搜索排名质量测度研究［J］. 图书情报工作, 2010, 54(2): 113-118.

［18］ PILLAT R M, VALIATI E R A, FREITAS C M D S. Experimental study on evaluation of multidimensional information visualization techniques［C］. American Conference on Human-Computer Interaction, CLIHC, 2005. 

［19］刘刚,刘万军,张伟.基于星形用户社区模型的Twitter广告投放［J］, 计算机应用与软件, 2012, 29(4): 44-48.

［20］姜晖,王浣尘,关树永.付费搜索拍卖建模与两类排名机制比较研究［J］. 中国管理科学, 2009, 17(3): 142-149.

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