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Mobile information access: A study of emerging search behavior on the mobile Internet

Published:01 May 2007Publication History
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Abstract

It is likely that mobile phones will soon come to rival more traditional devices as the primary platform for information access. Consequently, it is important to understand the emerging information access behavior of mobile Internet (MI) users especially in relation to their use of mobile handsets for information browsing and query-based search. In this article, we describe the results of a recent analysis of the MI habits of more than 600,000 European MI users, with a particular emphasis on the emerging interest in mobile search. We consider a range of factors including whether there are key differences between browsing and search behavior on the MI compared to the Web. We highlight how browsing continues to dominate mobile information access, but go on to show how search is becoming an increasingly popular information access alternative especially in relation to certain types of mobile handsets and information needs. Moreover, we show that sessions involving search tend to be longer and more data-rich than those that do not involve search. We also look at the type of queries used during mobile search and the way that these queries tend to be modified during the course of a mobile search session. Finally we examine the overlap among mobile search queries and the different topics mobile users are interested in.

References

  1. Baeza-Yates, R., Hurtado, C., and Mendoza, M. 2004. Query Recommendation using query logs in search engines. In International Workshop on Clustering Information Over the Web (ClustWeb). Google ScholarGoogle Scholar
  2. Balfe, E. and Smyth, B. 2004. Collaborative query recommendation for Web search. In Proceedings of 16th European Conference on Artificial Intelligence (ECAI'04). IOS Press, 268--272.Google ScholarGoogle Scholar
  3. Balfe, E. and Smyth, B. 2005. An analysis of query similarity in collaborative Web search. In Proceedings of the 27th European Conference on Information Retrieval (ECIR'05). 330--344. Google ScholarGoogle Scholar
  4. Cellular News. 2006. 2.5 billion mobile phones in use. http://www.cellular-news.com/story/19223.php. (Accessed March 2007).Google ScholarGoogle Scholar
  5. Church, K. and Smyth, B. 2007. Mobile content enrichment. In Proceedings of the International Conference on Intelligent User Interfaces (IUI'07). ACM Press, 112--121. Google ScholarGoogle Scholar
  6. Höscher, C. and Strube, G. 2000. Web search behavior of Internet experts and newbies. In Proceedings of the 9th International World Wide Web Conference on Computer Networks. Int. J. Comput. Telecomm. Netw. North-Holland Publishing Co., 337--346. Google ScholarGoogle Scholar
  7. Ipos Insight. 2006. Mobile phones could soon rival the PC as worlds dominant Internet platform. http://www.ipsos-na.com/news/pressrelease.cfm?id=3049. (Accessed March 2007).Google ScholarGoogle Scholar
  8. Jansen, B. J. and Spink, A. 2005. An analysis of Web searching by European AlltheWeb.com users. Inform. Process. Manag. 41, 2, 361--381. Google ScholarGoogle Scholar
  9. Jansen, B. J., Spink, A., and Pedersen, J. 2005. A temporal comparison of AltaVista Web searching: Research articles. J. Amer. Soci. Inform. Scien. Technol. 56, 6, 559--570. Google ScholarGoogle Scholar
  10. Jansen, B. J., Spink, A., and Saracevic, T. 2000. Real life, real users, and real needs: A study and analysis of user queries on the Web. Inform. Process. Manag. 36, 2, 207--227. Google ScholarGoogle Scholar
  11. Kamvar, M. and Baluja, S. 2006. A large scale study of wireless search behavior: Google mobile search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'06). ACM Press, 701--709. Google ScholarGoogle Scholar
  12. Open Mobile Alliance. 2002. WAP wireless markup language specification (WML). http://xml.coverpages.org/wap-wml.html. (Accessed March 2007).Google ScholarGoogle Scholar
  13. Silverstein, C., Marais, H., Henzinger, M., and Moricz, M. 1999. Analysis of a very large Web search engine query log. SIGIR Forum 33, 1, 6--12. Google ScholarGoogle Scholar
  14. Smyth, B. 2002. The plight of the mobile navigator. MobileMetrix.Google ScholarGoogle Scholar
  15. Smyth, B., Balfe, E., Boydell, O., Bradley, K., Briggs, P., Coyle, M., and Freyne, J. 2005. A live-user evaluation of collaborative Web search. In Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05). 1419--1424. Google ScholarGoogle Scholar
  16. Smyth, B., Balfe, E., Freyne, J., Briggs, P., Coyle, M., and Boydell, O. 2004. Exploiting query repetition and regularity in an adaptive community-based Web search engine. User Model. User Adapt. Interact. 14, 5, 383--423. Google ScholarGoogle Scholar
  17. Smyth, B. and Cotter, P. 2002a. Personalized adaptive navigation for mobile portals. In Proceedings of the 15th Eureopean Conference on Artificial Intelligence (ECAI'02). IOS Press, 608--612.Google ScholarGoogle Scholar
  18. Smyth, B. and Cotter, P. 2002b. The plight of the navigator: Solving the navigation problem for wireless portals. In Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH'02). Springer-Verlag, Berlin, Germany, 328--337. Google ScholarGoogle Scholar
  19. Spink, A., Jansen, B. J., Wolfram, D., and Saracevic, T. 2002. From e-sex to e-commerce: Web search changes. IEEE Comput. 35, 3, 107--109. Google ScholarGoogle Scholar
  20. Spink, A., Wolfram, D., Jansen, M. B. J., and Saracevic, T. 2001. Searching the Web: The public and their queries. J. Amer. Soc. Inform. Sci. Technol. 52, 3, 226--234. Google ScholarGoogle Scholar
  21. van Veen, N., de Lussanet, M., and Menke, L. 2005. European mobile forecast: 2005 To 2010. Forester Research.Google ScholarGoogle Scholar
  22. Wolfram, D., Spink, A., Jansen, B. J., and Saracevic, T. 2001. Vox Populi: The public searching of the Web. J. Amer. Soc. Inform. Sci. Technol. 52, 12, 1073--1074. Google ScholarGoogle Scholar
  23. ZDNet. 2006a. April 2006 search engine market shares. http://blogs.zdnet.com/ITFacts/index.php?p=10999. (Accessed March 2007).Google ScholarGoogle Scholar
  24. ZDNet. 2006b. Yahoo: Searches more sophisticated and specific. http://blogs.zdnet.com/micro-markets/index.php?p=27. (Accessed March 2007).Google ScholarGoogle Scholar
  25. Zhang, Z. and Nasraoui, O. 2006. Mining search engine query logs for query recommendation. In Proceedings of the 15th International Conference on World Wide Web (WWW'06). ACM Press, New York, NY. 1039--1040. Google ScholarGoogle Scholar

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