Morphing Banner Advertising

References

• Barr C (2008) CBS buying CNET in online push. Fortune Daily Briefing (blog), May 15, http://web.archive.org/web/20080517215301/http:/dailybriefing.blogs.fortune.cnn.com/2008/05/15/cbs-buying-cnet-in-online-push/.Google Scholar
• Buscher G, Dumais ST, Cutrell E (2010) The good, the bad, and the random: An eye-tracking study of ad quality in Web search. Proc. 33rd Internat. ACM SIGR Conf. Res. Development Information Retrieval (SIGIR '10) (ACM, New York), 42–49.Crossref, Google Scholar
• Chaiken S (1980) Heuristic versus systematic information processing and the use of source versus message cues in persuasion. J. Personality Soc. Psych. 39(5):752–766.Crossref, Google Scholar
• Chen Y, Pavlov D, Canny JF (2009) Large-scale behavioral targeting. Proc. 15th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 209–218.Crossref, Google Scholar
• Chu W, Park S-T, Beaupre T, Motgi N, Phadke A, Chakraborty S, Zachariah J (2009) A case study of behavior-driven conjoint analysis on Yahoo! Front Page Today module. Proc. 15th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 1097–1104.Crossref, Google Scholar
• Churchill GA Jr (1979) A paradigm for developing better measures of marketing constructs. J. Marketing Res. 16(1):64–73.Crossref, Google Scholar
• Dahlen M (2001) Banner advertisements through a new lens. J. Advertising Res. 41(4):23–30.Crossref, Google Scholar
• DoubleClick (2010) 2009 year-in-review benchmarks. Report, DoubleClick, New York. http://static.googleusercontent.com/external_content/untrusted_dlcp/www.google.com/en/us/doubleclick/pdfs/DoubleClick-07-2010-DoubleClick-Benchmarks-Report-2009-year-in-Review-US.pdf.Google Scholar
• Gatarski R (2002) Breed better banners: Design automation through online interaction. J. Interactive Marketing 16(1):2–13.Crossref, Google Scholar
• Giffin B, Richards J (2011) The role of the Internet in the new and used vehicle purchase process. Polk View report, (February), https://www.polk.com/knowledge/polk_views/role_of_internet_in_new_and_used_vehicle_purchase_process.Google Scholar
• Gittins JC (1979) Bandit processes and dynamic allocation indices. J. Roy. Statist. Soc. Ser. B 41(2):148–177.Google Scholar
• Hauser JR, Liberali G, Urban GL (2013) Website morphing 2.0: Switching costs, partial exposure, random exit, and when to morph. Working paper, MIT Sloan School of Management, Cambridge, MA.Google Scholar
• Hauser JR, Urban GL, Liberali G, Braun M (2009) Website morphing. Marketing Sci. 28(2):202–223.Link, Google Scholar
• Iyer G, Soberman D, Villas-Boas JM (2005) The targeting of advertising. Marketing Sci. 24(3):461–476.Link, Google Scholar
• Joshi A, Bagherjeiran A, Ratnaparkhi A (2011) User demographic and behavioral targeting for content match advertising. Proc. Fifth Internat. Workshop Data Mining Audience Intelligence Advertising (ADKDD 2011) (ACM, New York), 53–60.Google Scholar
• Kenny D, Marshall JF (2000) Contextual marketing. Harvard Bus. Rev. 78(6):119–125.Google Scholar
• Krishnamurthy V, Mickova J (1999) Finite dimensional algorithms for the hidden Markov model multi-armed bandit problem. IEEE Internat. Conf. Acoustics, Speech, Signal Processing, Vol. 5 (Institute of Electrical and Electronics Engineers, Washington, DC), 2865–2868.Crossref, Google Scholar
• Lambrecht A, Tucker CE (2011) When does retargeting work?: Timing information and specificity. Working paper, London Business School, London.Google Scholar
• Li H, Bukovac JL (1999) Cognitive impact of banner ad characteristics: An experimental study. Journalism Mass Comm. Quart. 76(2):341–53.Crossref, Google Scholar
• Nielsen (2011) Beyond clicks and impressions: Examining the relationship between online advertising and brand building. Report, Nielsen, New York. http://www.brandchannel.com/images/papers/531_nielse_wp_brand_building_beyond_clicks_1011.pdf.Google Scholar
• Novak TP, Hoffman DL (2009) The fit of thinking style and situation: New measures of situation-specific experiential and rational cognition. J. Consumer Res. 36(1):56–72.Crossref, Google Scholar
• Petty RE, Cacioppo JT, Schumann D (1983) Central and peripheral routes to advertising effectiveness: The moderating role of involvement. J. Consumer Res. 10(2):135–146.Crossref, Google Scholar
• PricewaterhouseCoopers (2011) IAB Internet advertising revenue report. Report, PricewaterhouseCoopers, London. http://www.iab.net/media/file/IAB_Full_year_2010_0413_Final.pdf.Google Scholar
• PricewaterhouseCoopers (2013) IAB Internet advertising revenue report. Report, PricewaterhouseCoopers, London. http://www.iab.net/media/file/IABInternetAdvertisingRevenueReportFY2012POSTED.pdf.Google Scholar
• Schwartz EM (2012) The attribute-based multi-armed bandit for adaptive marketing experiments. Dissertation thesis, University of Pennsylvania, Philadelphia.Google Scholar
• Scott SL (2010) A modern Bayesian look at the multi-armed bandit. Appl. Stochastic Models Bus. Indust. 26(6):639–658.Crossref, Google Scholar
• Stanaland AJS, Tan J (2010) The impact of surfer/seeker mode on the effectiveness of website characteristics. Internat. J. Advertising 29(4):569–595.Crossref, Google Scholar
• Sundar SS, Kalyanaraman S (2004) Arousal, memory, and impression-formation effects of animation speed in Web advertising. J. Advertising 33(1):7–17.Crossref, Google Scholar
• Urban GL, Hauser JR (2004) “Listening in” to find and explore new combinations of customer needs. J. Marketing 68(2):72–87.Crossref, Google Scholar
• Zaichkowsky JL (1986) Conceptualizing involvement. J. Advertising Res. 15(2):4–14.Crossref, Google Scholar