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Algorithmic Cartography: Placing Points of Interest and Ads on Maps

Published:10 August 2015Publication History

ABSTRACT

We study the problem of selecting a set of points of interest (POIs) to show on a map. We begin with a formal model of the setting, noting that the utility of a POI may be discounted by (i) the presence of competing businesses nearby as well as (ii) its position in the set of establishments ordered by distance from the user. We present simple, approximately optimal selection algorithms, coupled with incentive compatible pricing schemes in case of advertiser supplied points of interest. Finally, we evaluate our algorithms on real data sets and show that they outperform simple baselines.

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References

  1. Gagan Aggarwal, Jon Feldman, S. Muthukrishnan, and Martin Pál. Sponsored search auctions with markovian users. In Christos Papadimitriou and Shuzhong Zhang, editors, Internet and Network Economics, volume 5385 of Lecture Notes in Computer Science, pages 621--628. Springer Berlin Heidelberg, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverson, and Samuel Ieong. Diversifying search results. In Proceedings of the Second ACM International Conference on Web Search and Data Mining, WSDM '09, pages 5--14, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Aaron Archer and Éva Tardos. Truthful mechanisms for one-parameter agents. Proceedings of 42th Annual Symposium on Foundations of Computer Science (FOCS), pages 482--491, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Moshe Babaioff and Liad Blumrosen. Computationally-feasible truthful auctions for convex bundles. Games and Economic Behavior, 63(2):588--620, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  5. Saeideh Bakhshi, Partha Kanuparthy, and Eric Gilbert. Demographics, weather and online reviews: A study of restaurant recommendations. In Proceedings of the 23rd International Conference on World Wide Web, WWW '14, pages 443--454, New York, NY, USA, 2014. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Tony Bradley. Google maps ads are a big opportunity for local businesses. PC World (August 9, 2013). www.pcworld.com/article/2046292/google-maps-ads-are-a-big-opportunity-for-local-businesses.html.Google ScholarGoogle Scholar
  7. Cartography and Geographic Information Society. Cagis map design competition. http://www.cartogis.org/awards/contest.php, 2013.Google ScholarGoogle Scholar
  8. Arpita Ghosh and Mohammad Mahdian. Externalities in online advertising. In Proceedings of the 17th international conference on World Wide Web, pages 161--168. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Arpita Ghosh and Amin Sayedi. Expressive auctions for externalities in online advertising. In Proceedings of the 19th international conference on World wide web, pages 371--380. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Sreenivas Gollapudi and Aneesh Sharma. An axiomatic approach for result diversification. In WWW '09: Proceedings of the 18th international conference on World wide web, pages 381--390, New York, NY, USA, 2009. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Renato Gomes, Nicole Immorlica, and Evangelos Markakis. Externalities in keyword auctions: An empirical and theoretical assessment. In Stefano Leonardi, editor, Internet and Network Economics, volume 5929 of Lecture Notes in Computer Science, pages 172--183. Springer Berlin Heidelberg, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Samuel Ieong, Mohammad Mahdian, and Sergei Vassilvitskii. Advertising in a stream. In Proceedings of the 23rd International Conference on World Wide Web, WWW '14, pages 29--38, New York, NY, USA, 2014. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. David Kempe and Mohammad Mahdian. A cascade model for externalities in sponsored search. In Internet and Network Economics, pages 585--596. Springer, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Ravi Kumar, Mohammad Mahdian, Bo Pang, Andrew Tomkins, and Sergei Vassilvitskii. Modeling geographic choice. In Proceedings of the 8th International Conference on Web Search and Data Mining (WSDM), 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Stephanie Meece. A bird's eye view of a leopard's spots. the Çatalhöyük 'map' and the development of cartographic representation in prehistory. https://www.repository.cam.ac.uk/handle/1810/195777, 2008.Google ScholarGoogle Scholar
  16. Roger Myerson. Optimal auction design. Mathematics of Operations Research, 6(1):58--73, 1981. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Anastasios Noulas, Salvatore Scellato, Renaud Lambiotte, Massimiliano Pontil, and Cecilia Mascolo. A tale of many cities: Universal patterns in human urban mobility. PLoS ONE, 7(5):e37027, 05 2012.Google ScholarGoogle ScholarCross RefCross Ref
  18. Anish Das Sarma, Hongrae Lee, Hector Gonzalez, Jayant Madhavan, and Alon Halevy. Consistent thinning of large geographical data for map visualization. ACM Trans. Database Syst., 38(4):22:1--22:35, December 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Greg Sterling. Google introduces offline maps for mobile, claims a billion users globally for maps, earth. Search Engine Land weblog (June 6, 2012). http://searchengineland.com/live-blogging-the-google-maps-next-dimension-event-123617, 2012.Google ScholarGoogle Scholar
  20. Jennifer van Grove. Marissa Mayer: Google will connect the digital and physical worlds through mobile. Mashable weblog (March 11, 2011). http://mashable.com/2011/03/11/mayer-sxsw-talk/, 2011.Google ScholarGoogle Scholar
  21. Wikipedia. Babylonian map of the world. http://en.wikipedia.org/wiki/Babylonian_Map_of_the_World, 2014.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      KDD '15: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
      August 2015
      2378 pages
      ISBN:9781450336642
      DOI:10.1145/2783258

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      • Published: 10 August 2015

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      KDD '15 Paper Acceptance Rate160of819submissions,20%Overall Acceptance Rate1,133of8,635submissions,13%

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