{"type":"ScholarlyArticle","title":"Online Optimization of Video-Ad Allocation","authors":[{"name":"Hanna Sumita","slug":"hanna-sumita","given":"Hanna","family":"Sumita","affiliation":"JAPAN Research"},{"name":"Yasushi Kawase","slug":"yasushi-kawase","given":"Yasushi","family":"Kawase","affiliation":"‡ National Institute of Informatics; § Tokyo Institute of Technology RIKEN AIP Center Yahoo!"},{"name":"Sumio Fujita","slug":"sumio-fujita","given":"Sumio","family":"Fujita","affiliation":"JAPAN Research"},{"name":"Takuro Fukunaga","slug":"takuro-fukunaga","given":"Takuro","family":"Fukunaga","affiliation":"JAPAN Research"}],"abstract":"In this paper, we study the video advertising in the context of internet advertising. Video advertising is a rapidly growing industry, but its computational aspects have not yet been investigated. A difference between video advertising and traditional display advertising is that the former requires more time to be viewed. In contrast to a traditional display advertisement, a video advertisement has no influence over a user unless the user watches it for a certain amount of time. Previous studies have not considered the length of video advertisements, and time spent by users to watch them. Motivated by this observation, we formulate a new online optimization problem for optimizing the allocation of video advertisements, and we develop a nearly (1 − 1/e)-competitive algorithm for finding an envy-free allocation of video advertisements.","doi":"10.24963/ijcai.2017/60","url":"https://ijcai.org/proceedings/2017/60","pdf":"https://ijcai.org/proceedings/2017/0060.pdf","markdown":"https://ijcai.org/proceedings/2017/60.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/60","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Agent-based and Multi-agent Systems","track":"Main track","number":60,"pages":{"first":423,"last":429},"keywords":["Combinatorial & Heuristic Search: Combinatorial search/optimisation","Agent-based and Multi-agent Systems: Economic paradigms, auctions and market-based systems"],"videos":[],"references":[{"position":1,"raw":"[Balseiro et al., 2014] Santiago R. Balseiro, Jon Feldman, Vahab Mirrokni, and S. Muthukrishnan. Yield optimiza- tion of display advertising with ad exchange. Management Science, 60(12):2886-2907, 2014.","title":"Yield optimization of display advertising with ad exchange","authors":"R Santiago, Jon Balseiro, Vahab Feldman, S Mirrokni, Muthukrishnan","year":"2014","venue":"Management Science","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Bateni et al., 2014] MohammadHossein Bateni, Jon Feld- man, Vahab Mirrokni, and Sam Chiu-wai Wong. Multi- plicative bidding in online advertising. In Proceedings of the 15th ACM Conference on Economics and Computation (EC '14), pages 715-732, 2014.","title":"Multiplicative bidding in online advertising","authors":"Bateni","year":"2014","venue":"Proceedings of the 15th ACM Conference on Economics and Computation (EC '14)","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Bhalgat et al., 2012] Anand Bhalgat, Jon Feldman, and Va- hab Mirrokni. Online allocation of display ads with smooth delivery. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discov- ery and Data Mining (KDD '12), pages 1213-1221, 2012.","title":"Online allocation of display ads with smooth delivery","authors":"Anand Bhalgat, Jon Feldman, Vahab Mirrokni","year":"2012","venue":"Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '12)","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Bhalgat et al., 2014] Anand Bhalgat, Nitish Korula, Han- nadiy Leontyev, Max Lin, and Vahab Mirrokni. Partner tiering in display advertising. In Proceedings of the 7th ACM International Conference on Web Search and Data Mining (WSDM '14), pages 133-142, 2014.","title":"Partner tiering in display advertising","authors":"Anand Bhalgat, Nitish Korula, Hannadiy Leontyev, Max Lin, Vahab Mirrokni","year":"2014","venue":"Proceedings of the 7th ACM International Conference on Web Search and Data Mining (WSDM '14)","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Bharadwaj et al., 2012] Vijay Bharadwaj, Peiji Chen, Wen- jing Ma, Chandrashekhar Nagarajan, John Tomlin, Sergei Vassilvitskii, Erik Vee, and Jian Yang. SHALE: an effi- cient algorithm for allocation of guaranteed display adver- tising. In Proceedings of the 18th ACM SIGKDD Inter- national Conference on Knowledge Discovery and Data Mining (KDD '12), pages 1195-1203, 2012.","title":"SHALE: an efficient algorithm for allocation of guaranteed display advertising","authors":"Vijay Bharadwaj, Peiji Chen, Wenjing Ma, Chandrashekhar Nagarajan, John Tomlin, Sergei Vassilvitskii, Erik Vee, Jian Yang","year":"2012","venue":"Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '12)","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Buchbinder et al., 2007] Niv Buchbinder, Kamal Jain, and Joseph Seffi Naor. Online primal-dual algorithms for max- imizing ad-auctions revenue. In Proceedings of the 15th Annual European Conference on Algorithms (ESA '07), pages 253-264, 2007.","title":"Online primal-dual algorithms for maximizing ad-auctions revenue","authors":"Buchbinder","year":"2007","venue":"Proceedings of the 15th Annual European Conference on Algorithms (ESA '07)","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Goel et al., 2010] Ashish Goel, Mohammad Mahdian, Hamid Nazerzadeh, and Amin Saberi. Advertisement allocation for generalized second-pricing schemes. Operations Research Letters, 38(6):571-576, 2010.","title":"Advertisement allocation for generalized second-pricing schemes","authors":"Ashish Goel, Mohammad Mahdian, Hamid Nazerzadeh, Amin Saberi","year":"2010","venue":"Operations Research Letters","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Hojjat et al., 2014] Ali Hojjat, John Turner, Suleyman Cetintas, and Jian Yang. Delivering guaranteed display ads under reach and frequency requirements. In Proceed- ings of the 28th AAAI Conference on Artificial Intelligence (AAAI '14), pages 2278-2284, 2014.","title":"Delivering guaranteed display ads under reach and frequency requirements","authors":"Ali Hojjat, John Turner, Suleyman Cetintas, Jian Yang","year":"2014","venue":"Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI '14)","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Ieong et al., 2014] Samuel Ieong, Mohammad Mahdian, and Sergei Vassilvitskii. Advertising in a stream. In Pro- ceedings of the 23rd International World Wide Web Con- ference (WWW '14), pages 29-38, 2014.","title":"Samuel Ieong, Mohammad Mahdian, and Sergei Vassilvitskii. Advertising in a stream","authors":"Ieong","year":"2014","venue":"Proceedings of the 23rd International World Wide Web Conference (WWW '14)","doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Interactive Advertising Bureau, 2015] Interactive Advertis- ing Bureau. IAB internet advertising revenue report, 2014 full year results. http://www.iab.net/media/file/ IAB Internet Advertising Revenue FY 2014.pdf, 2015.","title":"IAB internet advertising revenue report","authors":null,"year":"2014","venue":null,"doi":null,"url":"http://www.iab.net/media/file/IABInternetAdvertisingRevenueFY2014.pdf","internal_url":null},{"position":11,"raw":"[Mehta et al., 2007] Aranyak Mehta, Amin Saberi, Umesh Vazirani, and Vijay Vazirani. Adwords and generalized online matching. Journal of the ACM, 54(5), 2007.","title":"Adwords and generalized online matching","authors":"Mehta","year":"2007","venue":"Journal of the ACM","doi":null,"url":null,"internal_url":null},{"position":12,"raw":"[Pew Research Center, 2014] Pew Research Center. State of the news media 2014: News video on the web: A growing, if uncertain, part of news. http://www.journalism.org/files/ 2014/03/News-Video-on-the-Web.pdf, 2014.","title":"State of the news media 2014: News video on the web: A growing, if uncertain, part of news","authors":null,"year":"2014","venue":null,"doi":null,"url":"http://www.journalism.org/files/2014/03/News-Video-on-the-Web.pdf","internal_url":null},{"position":13,"raw":"[Radovanovic and Heavlin, 2012] Ana Radovanovic and William D. Heavlin. Risk-aware revenue maximization in display advertising. In Proceedings of the 21st World Wide Web Conference (WWW '12), pages 91-100, 2012.","title":"Risk-aware revenue maximization in display advertising","authors":"Ana Radovanovic, William D Heavlin","year":"2012","venue":"Proceedings of the 21st World Wide Web Conference (WWW '12)","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}