{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:59:49Z","timestamp":1760709589882,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":34,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3184558.3191549","type":"proceedings-article","created":{"date-parts":[[2018,4,18]],"date-time":"2018-04-18T18:04:25Z","timestamp":1524074665000},"page":"1155-1162","source":"Crossref","is-referenced-by-count":7,"title":["Computational Creative Advertisements"],"prefix":"10.1145","author":[{"given":"Wei","family":"Sun","sequence":"first","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"IBM, Armonk, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anshul","family":"Sheopuri","sequence":"additional","affiliation":[{"name":"IBM, Armonk, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thales","family":"Teixeira","sequence":"additional","affiliation":[{"name":"Harvard Business School, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3184558.3191549-1","unstructured":"William E Baker, Heather Honea, and Cristel A Russell. 2004. Do not wait to reveal the brand name: The effect of brand-name placement on television advertising effectiveness. Journal of Advertising Vol. 33, 3 (2004), 77--85."},{"key":"key-10.1145\/3184558.3191549-2","doi-asserted-by":"crossref","unstructured":"Kim Binsted and Graeme Ritchie. 1997. Computational rules for generating punning riddles. HUMOR-International Journal of Humor Research Vol. 10, 1 (1997), 25--76.","DOI":"10.1515\/humr.1997.10.1.25"},{"key":"key-10.1145\/3184558.3191549-3","unstructured":"Remco Ronaldus Bouckaert. 1995. Bayesian belief networks: from construction to inference. Universiteit Utrecht, Faculteit Wiskunde en Informatica."},{"key":"key-10.1145\/3184558.3191549-4","doi-asserted-by":"crossref","unstructured":"Hichem Boudali and Joanne Bechta Dugan. 2005. A discrete-time Bayesian network reliability modeling and analysis framework. Reliability Engineering &#38; System Safety Vol. 87, 3 (2005), 337--349.","DOI":"10.1016\/j.ress.2004.06.004"},{"key":"key-10.1145\/3184558.3191549-5","unstructured":"Raymond R Burke, Arvind Rangaswamy, Jerry Wind, and Jehoshua Eliashberg. 1990. A knowledge-based system for advertising design. Marketing Science Vol. 9, 3 (1990), 212--229."},{"key":"key-10.1145\/3184558.3191549-6","doi-asserted-by":"crossref","unstructured":"Gerda Claeskens and Nils Lid Hjort. 2008. Model selection and model averaging. Vol. Vol. 330. Cambridge University Press Cambridge.","DOI":"10.1017\/CBO9780511790485"},{"key":"key-10.1145\/3184558.3191549-7","doi-asserted-by":"crossref","unstructured":"Simon Colton, Geraint A Wiggins, et almbox. 2012. Computational creativity: The final frontier?. In ECAI, Vol. Vol. 12. 21--26.","DOI":"10.3233\/978-1-61499-098-7-21"},{"key":"key-10.1145\/3184558.3191549-8","unstructured":"Luis M de Campos, Juan M Fern&#225;ndez-Luna, and Juan F Huete. 2004. Bayesian networks and information retrieval: an introduction to the special issue. Information processing &#38; management Vol. 40, 5 (2004), 727--733."},{"key":"key-10.1145\/3184558.3191549-9","unstructured":"Russell H Fazio, Paul M Herr, and Martha C Powell. 1992. On the development and strength of category--brand associations in memory: The case of mystery ads. Journal of Consumer Psychology Vol. 1, 1 (1992), 1--13."},{"key":"key-10.1145\/3184558.3191549-10","unstructured":"Jeff Forbes, Timothy Huang, Keiji Kanazawa, and Stuart Russell. 1995. The batmobile: Towards a bayesian automated taxi. In IJCAI, Vol. Vol. 95. 1878--1885."},{"key":"key-10.1145\/3184558.3191549-11","unstructured":"Nir Friedman, Michal Linial, Iftach Nachman, and Dana Pe'er. 2000. Using Bayesian networks to analyze expression data. Journal of computational biology Vol. 7, 3--4 (2000), 601--620."},{"key":"key-10.1145\/3184558.3191549-12","doi-asserted-by":"crossref","unstructured":"Jacob Goldenberg, David Mazursky, and Sorin Solomon. 1999. The fundamental templates of quality ads. Marketing science Vol. 18, 3 (1999), 333--351.","DOI":"10.1287\/mksc.18.3.333"},{"key":"key-10.1145\/3184558.3191549-13","unstructured":"Alexander J Hartemink, David K Gifford, Tommi Jaakkola, Richard A Young, et al. 2001. Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks. In Pacific symposium on biocomputing, Vol. Vol. 6. World Scientific, 266."},{"key":"key-10.1145\/3184558.3191549-14","unstructured":"X. Hua, L. Lu, and H. Zhang. 2004. Automatic music video generation based on temporal pattern analysis. ACM Multimedia (2004), 472--475."},{"key":"key-10.1145\/3184558.3191549-15","unstructured":"Michael Isard. 2003. PAMPAS: Real-valued graphical models for computer vision Proceedings of Computer Vision and Pattern Recognition. IEEE Computer Society Conference, Vol. Vol. 1. IEEE, I--613."},{"key":"key-10.1145\/3184558.3191549-16","doi-asserted-by":"crossref","unstructured":"Xia Jiang, Richard E Neapolitan, M Michael Barmada, and Shyam Visweswaran. 2011. Learning genetic epistasis using Bayesian network scoring criteria. BMC bioinformatics Vol. 12, 1 (2011), 89.","DOI":"10.1186\/1471-2105-12-89"},{"key":"key-10.1145\/3184558.3191549-17","unstructured":"Anna Kantosalo, Jukka M Toivanen, Ping Xiao, and Hannu Toivonen. 2014. From Isolation to Involvement: Adapting Machine Creativity Software to Support Human-Computer Co-Creation. In ICCC. 1--7."},{"key":"key-10.1145\/3184558.3191549-18","unstructured":"Christos L Koumenides and Nigel R Shadbolt. 2012. Combining link and content-based information in a Bayesian inference model for entity search. In Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search. ACM, 3."},{"key":"key-10.1145\/3184558.3191549-19","unstructured":"Antonios Liapis, Georgios N Yannakakis, and Julian Togelius. 2014. Computational Game Creativity. In ICCC. Citeseer, 46--53."},{"key":"key-10.1145\/3184558.3191549-20","unstructured":"Daniel McDuff, Rana El Kaliouby, Thibaud Senechal, Mohammed Amr, Jeffrey F Cohn, and Rosalind Picard. 2013. Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected\" In-the-Wild\". In Proceedings of Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 881--888."},{"key":"key-10.1145\/3184558.3191549-21","unstructured":"Daniel McDuff, RE Kaliouby, and Rosalind W Picard. 2012. Crowdsourcing facial responses to online videos. Affective Computing, IEEE Transactions on Vol. 3, 4 (2012), 456--468."},{"key":"key-10.1145\/3184558.3191549-22","unstructured":"Kristine P Monteith. 2012. Automatic Generation of Music for Inducing Emotive and Physiological Responses. Ph.D. Dissertation. Brigham Young University."},{"key":"key-10.1145\/3184558.3191549-23","doi-asserted-by":"crossref","unstructured":"Vladimir Pavlovi&#263;, James M Rehg, Tat-Jen Cham, and Kevin P Murphy. 1999. A dynamic bayesian network approach to figure tracking using learned dynamic models. In Proceedings of the Seventh IEEE International Conference, Vol. Vol. 1. IEEE, 94--101.","DOI":"10.1109\/ICCV.1999.791203"},{"key":"key-10.1145\/3184558.3191549-24","doi-asserted-by":"crossref","unstructured":"Judea Pearl. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. (1988).","DOI":"10.1016\/B978-0-08-051489-5.50008-4"},{"key":"key-10.1145\/3184558.3191549-25","doi-asserted-by":"crossref","unstructured":"Federico Peinado and Pablo Gerv&#225;s. 2006. Evaluation of automatic generation of basic stories. New Generation Computing Vol. 24, 3 (2006), 289--302.","DOI":"10.1007\/BF03037336"},{"key":"key-10.1145\/3184558.3191549-26","unstructured":"Thales Teixeira. 2012. The new science of viral ads. Harvard Business Review Vol. 90, 3 (2012), 25--27."},{"key":"key-10.1145\/3184558.3191549-27","doi-asserted-by":"crossref","unstructured":"Thales Teixeira, Rosalind Picard, and Rana el Kaliouby. 2014. Why, when, and how much to entertain consumers in advertisements? A web-based facial tracking field study. Marketing Science Vol. 33, 6 (2014), 809--827.","DOI":"10.1287\/mksc.2014.0854"},{"key":"key-10.1145\/3184558.3191549-28","doi-asserted-by":"crossref","unstructured":"Thales Teixeira, Michel Wedel, and Rik Pieters. 2010. Moment-to-moment optimal branding in TV commercials: Preventing avoidance by pulsing. Marketing Science Vol. 29, 5 (2010), 783--804.","DOI":"10.1287\/mksc.1100.0567"},{"key":"key-10.1145\/3184558.3191549-29","doi-asserted-by":"crossref","unstructured":"Thales Teixeira, Michel Wedel, and Rik Pieters. 2012. Emotion-induced engagement in internet video advertisements. Journal of Marketing Research Vol. 49, 2 (2012), 144--159.","DOI":"10.1509\/jmr.10.0207"},{"key":"key-10.1145\/3184558.3191549-30","unstructured":"Gerard J Tellis. 1988. Advertising exposure, loyalty, and brand purchase: A two-stage model of choice. Journal of marketing research (1988), 134--144."},{"key":"key-10.1145\/3184558.3191549-31","doi-asserted-by":"crossref","unstructured":"Paolo Trucco, Enrico Cagno, Fabrizio Ruggeri, and Ottavio Grande. 2008. A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation. Reliability Engineering &#38; System Safety Vol. 93, 6 (2008), 845--856.","DOI":"10.1016\/j.ress.2007.03.035"},{"key":"key-10.1145\/3184558.3191549-32","doi-asserted-by":"crossref","unstructured":"Lav R Varshney, Florian Pinel, Kush R Varshney, Angela Sch&#246;rgendorfer, and Yi-Min Chee. 2013. Cognition as a part of computational creativity. In Cognitive Informatics &#38; Cognitive Computing (ICCI* CC), 2013 12th IEEE International Conference on. IEEE, 36--43.","DOI":"10.1109\/ICCI-CC.2013.6622223"},{"key":"key-10.1145\/3184558.3191549-33","unstructured":"J. Wang, C. Xu, E. Chng, L. Duan, K. Wan, and Q. Tian. 2005. Automatic generation of personalized music sports video. ACM Multimedia (2005), 735--744."},{"key":"key-10.1145\/3184558.3191549-34","unstructured":"Geraint Wiggins, George Papadopoulos, Somnuk Phon-Amnuaisuk, and Andrew Tuson. 1998. Evolutionary methods for musical composition. Dai Research Paper (1998)."}],"event":{"number":"2018","sponsor":["IW3C2, International World Wide Web Conference Committee","SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"acronym":"WWW '18","name":"Companion of the The Web Conference 2018","start":{"date-parts":[[2018,4,23]]},"location":"Lyon, France","end":{"date-parts":[[2018,4,27]]}},"container-title":["Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3184558.3191549","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3191549&ftid=1958313&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T19:27:28Z","timestamp":1751570848000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3184558.3191549"}},"subtitle":[],"proceedings-subject":"The Web Conference 2018","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1145\/3184558.3191549","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}