skip to main content
10.1145/1409240.1409243acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

A large scale study of European mobile search behaviour

Published:02 September 2008Publication History

ABSTRACT

Recent evidence suggests that mobile search is becoming an increasingly important way for mobile users to gain access to online information, especially as off-portal content continues to grow rapidly. In this paper we study the characteristics of mobile search by analysing approximately 6 million individual search requests generated by over 260,000 individual mobile searchers over a 7-day period during 2006. We analyse the patterns of queries used by mobile searchers and focus on key characteristics such as the clickthru rates of mobile searches in order to understand, for the first time, just how well mobile search engines are responding to user queries. Moreover, we compare our results to a number of recent mobile studies and highlight some of the key differences between mobile search and traditional Web search behaviours.

References

  1. R. Baeza-Yates, G. Dupret, and J. Velasco. A study of mobile search queries in Japan. In Query Log Analysis: Social and Technological Challenges, at WWW 2007, 2007.Google ScholarGoogle Scholar
  2. R. Baeza-Yates, C. Hurtado, M. Mendoza, and G. Dupret. Modeling user search behavior. In LA-WEB '05: Proceedings of the Third Latin American Web Congress, page 242. IEEE Computer Society, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. Balfe and B. Smyth. An analysis of query similarity in collaborative web search. In Proceedings of the 27th European Conference on Information Retrieval (ECIR), pages 330--344, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. M. Beitzel, E. C. Jensen, A. Chowdhury, D. Grossman, and O. Frieder. Hourly analysis of a very large topically categorized web query log. In SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pages 321--328. ACM, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Broder. A taxonomy of web search. SIGIR Forum, 36(2):3--10, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. K. Church, B. Smyth, P. Cotter, and K. Bradley. Mobile information access: A study of emerging search behavior on the mobile internet. ACM Transactions on the Web, 1(1):4, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. M. Coyle and B. Smyth. Supporting intelligent navigation in web search. ACM Transactions on Internet Technology (TOIT), 7(4), 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Informa. 3 billion mobile subscriptions. http://www.mobilemonday.net/news/3-billion-mobile-subscriptions, July 2007. Last Checked 4 th February 2008.Google ScholarGoogle Scholar
  9. IposInsight. Mobile phones could soon rival the pc as world's dominant internet platform. http://www.ipsos-na.com/news/pressrelease.cfm?id=3049, April 2006. Last Checked 4 th February 2008.Google ScholarGoogle Scholar
  10. B. J. Jansen, D. L. Booth, and A. Spink. Determining the user intent of web search engine queries. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 1149--1150. ACM, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. B. J. Jansen and A. Spink. An analysis of web searching by european alltheweb.com users. Information Processing and Management: an International Journal, 41(2):361--381, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. B. J. Jansen and A. Spink. How are we searching the world wide web?: a comparison of nine search engine transaction logs. Information Processing and Management: an International Journal, 42(1):248--263, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. B. J. Jansen, A. Spink, and T. Saracevic. Real life, real users, and real needs: a study and analysis of user queries on the web. Information Processing and Management: an International Journal, 36(2):207--227, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. M. Kamvar and S. Baluja. A large scale study of wireless search behavior: Google mobile search. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 701--709. ACM Press, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. M. Kamvar and S. Baluja. Deciphering trends in mobile search. Computer, 40(8):58--62, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. M. Keane, M. O'Brien, and B. Smyth. Are people biased in their use of search-engines? Communications of the ACM, In Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. MobileMarketingAssociation. Off Portal - An Introduction to the Market Opportunity. http://www.mmaglobal.com/offportal.pdf, June 2007. Last Checked 4 th February 2008.Google ScholarGoogle Scholar
  18. RankStat. Most people use 2 word phrases in search engines according to rankstat.com. http://www.rankstat.com/html/en/seo-news1-most-people-use -2-word-phrases-in-search-engines.html, January 2007. Last Checked 4 th February 2008.Google ScholarGoogle Scholar
  19. SearchEngineWatch. Google tops search share; yahoo holds steady in number of searches. http://searchengineland.com/071228-150455.php, December 2007. Last Checked 4 th February 2008.Google ScholarGoogle Scholar
  20. C. Silverstein, H. Marais, M. Henzinger, and M. Moricz. Analysis of a very large web search engine query log. SIGIR Forum, 33(1):6--12, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. B. Smyth, E. Balfe, O. Boydell, K. Bradley, P. Briggs, M. Coyle, and J. Freyne. A live-user evaluation of collaborative web search. In Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), Edinburgh, Scotland, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. B. Smyth, E. Balfe, J. Freyne, P. Briggs, M. Coyle, and O. Boydell. Exploiting query repetition & regularity in an adaptive community-based web search engine. User Modeling and User Adapted Interaction (UMUAI), 14(5):383--423, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. A. Spink, B. J. Jansen, D. Wolfram, and T. Saracevic. From e-sex to e-commerce: Web search changes. Computer, 35(3):107--109, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. A. Spink, D. Wolfram, M. B. J. Jansen, and T. Saracevic. Searching the web: the public and their queries. Journal of the American Society for Information Science and Technology, 52(3):226--234, 2001. Google ScholarGoogle ScholarCross RefCross Ref
  25. J. Teevan, E. Adar, R. Jones, and M. A. S. Potts. Information re-retrieval: repeat queries in yahoo's logs. In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 151--158. ACM, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. D. Wolfram, A. Spink, B. J. Jansen, and T. Saracevic. Vox populi: the public searching of the web. Journal of the American Society for Information Science and Technology, 52(12):1073--1074, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A large scale study of European mobile search behaviour

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        MobileHCI '08: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
        September 2008
        568 pages
        ISBN:9781595939524
        DOI:10.1145/1409240

        Copyright © 2008 ACM

        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 September 2008

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate202of906submissions,22%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader