In-Image Advertising

The heart of this paper is a model of social interaction in which players use costumes and other visible consumption goods as signals about the identity of other players. If these signals are informative enough, players use them to condition their social interaction. Importantly, accurate signals are mutually beneficial. This game is then wrapped in another in which players choose their costumes. There are many equilibria in this expanded game, some of which allow individuals to perfectly signal their type in all social interactions, and others of which do not. The perfect signaling equilibria Pareto dominate the others, but since there are many of them, the players face a difficult coordination problem. In this paper we explore the hypothesis that image advertising solves this coordination problem. Two implications of our theory are that image advertising campaigns are necessarily massive, and that the targeted audience for the advertising campaign is necessarily larger than the targeted group of buyers of the advertised product. We offer anecdotal evidence in support of both implications.

[1]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[2]  Joshua Goodman,et al.  Finding advertising keywords on web pages , 2006, WWW '06.

[3]  Tao Mei,et al.  VideoSense: towards effective online video advertising , 2007, ACM Multimedia.

[4]  Janet Tai Landa,et al.  The Economics of Symbols, Clan Names, and Religion , 1983, The Journal of Legal Studies.

[5]  Lora Aroyo,et al.  Personalized ambient media experience: move.me case study , 2007, IUI '07.

[6]  Hairong Li,et al.  Measuring the Intrusiveness of Advertisements: Scale Development and Validation , 2002 .

[7]  B. Klein,et al.  The Role of Market Forces in Assuring Contractual Performance , 1981, Journal of Political Economy.

[8]  Vassilis Plachouras,et al.  A noisy-channel approach to contextual advertising , 2007, ADKDD '07.

[9]  P. Nelson Advertising as Information , 1974, Journal of Political Economy.

[10]  R. Kihlstrom,et al.  Advertising as a Signal , 1984, Journal of Political Economy.

[11]  HongJiang Zhang,et al.  Contrast-based image attention analysis by using fuzzy growing , 2003, MULTIMEDIA '03.

[12]  Mor Naaman,et al.  How flickr helps us make sense of the world: context and content in community-contributed media collections , 2007, ACM Multimedia.

[13]  Robin Cohen,et al.  An Approach for Delivering Personalized Advertisements in Interactive TV Customized to Both Users and Advertisers , 2007 .

[14]  Rajeev Motwani,et al.  Keyword Generation for Search Engine Advertising , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

[15]  Berthier A. Ribeiro-Neto,et al.  Impedance coupling in content-targeted advertising , 2005, SIGIR '05.

[16]  J. W. Richards,et al.  RJR Nabisco's cartoon camel promotes camel cigarettes to children. , 1991, JAMA.

[17]  Weiguo Fan,et al.  Learning to advertise , 2006, SIGIR.

[18]  Edward Y. Chang,et al.  Fotowiki: distributed map enhancement service , 2006, MM '06.

[19]  Andrei Z. Broder,et al.  A semantic approach to contextual advertising , 2007, SIGIR.

[20]  Susanne Boll,et al.  'Oh Web Image, Where Art Thou?' , 2008, MMM.

[21]  D Shopland,et al.  Does tobacco advertising target young people to start smoking? Evidence from California. , 1991, JAMA.

[22]  Srinivasan H. Sengamedu,et al.  vADeo: video advertising system , 2007, ACM Multimedia.

[23]  P. Chatterjee,et al.  Modeling the Clickstream: Implications for Web-Based Advertising Efforts , 2003 .

[24]  Comparison of the cigarette brand preferences of adult and teenaged smokers--United States, 1989, and 10 U.S. communities, 1988 and 1990. , 1992, MMWR. Morbidity and mortality weekly report.

[25]  Aranyak Mehta,et al.  AdWords and generalized on-line matching , 2005, 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05).

[26]  浅沼 萬里 【Book Review】A. Michael Spence, Market Signaling : Informational Transfer in Hiring and Related Screening Processes , 1976 .

[27]  Alice M. Tybout,et al.  Cognitive and Affective Responses to Advertising , 1988 .

[28]  Wei-Ying Ma,et al.  Delivering online advertisements inside images , 2008, ACM Multimedia.

[29]  Jian Hu,et al.  Finding keyword from online broadcasting content for targeted advertising , 2007, ADKDD '07.

[30]  Hua Li,et al.  Demographic prediction based on user's browsing behavior , 2007, WWW '07.

[31]  Svetha Venkatesh,et al.  Extraction of social context and application to personal multimedia exploration , 2006, MM '06.

[32]  Harry Shum,et al.  Statistical Learning of Multi-view Face Detection , 2002, ECCV.

[33]  Ying Li,et al.  Detecting online commercial intention (OCI) , 2006, WWW '06.

[34]  Qiang Yang,et al.  Building bridges for web query classification , 2006, SIGIR.

[35]  Wei-Ying Ma,et al.  Clustering and searching WWW images using link and page layout analysis , 2007, TOMCCAP.

[36]  Cigarette brand use among adult smokers--United States, 1986. , 1990, MMWR. Morbidity and mortality weekly report.

[37]  Andrea Everard,et al.  The effects of online advertising , 2007, Commun. ACM.

[38]  Matthew Richardson,et al.  Predicting clicks: estimating the click-through rate for new ads , 2007, WWW '07.

[39]  Winston H. Hsu,et al.  AdImage: video advertising by image matching and ad scheduling optimization , 2008, SIGIR '08.