Maryam Kamvar
ABSTRACT
We present a large scale study of search patterns on Google's mobile search interface. Our goal is to understand the current state of wireless search by analyzing over 1 Million hits to Google's mobile search sites. Our study also includes the examination of search queries and the general categories under which they fall. We follow users throughout multiple interactions to determine search behavior; we estimate how long they spend inputting a query, viewing the search results, and how often they click on a search result. We also compare and contrast search patterns between 12-key keypad phones (cellphones), phones with QWERTY keyboards (PDAs) and conventional computers.
- Broder, A. 2002. A Taxonomy of web search. SIGIR FORUM. Vol. 36 No.2 pp3--10 Google Scholar
Digital Library
- Buchanan, G., Farrant, S., Jones M., Thimbleby, H., Marsden, G., Pazzani M., 2001. Improving Mobile Internet Usability. Proc of WWW. pp 673--680. Google ScholarDigital Library
- CTIA. CTIA Semi-Annual Wireless Industry Survey 2005Google Scholar
- Franz, A., Milch, B. 2002. Searching the Web by Voice. Proceedings of the 19th International Conference on Computational Linguistics (COLING). pp 1213--1217. Google ScholarDigital Library
- Hakkila, J. and Chatfield, C. 2005. 'It's Like if You Opened Someone Else's Letter' -- User Perceived Privacy and Social Practices with SMS Communication. Proceedings of the 7th International Conference on Human Computer Interaction with Mobile Devices and Services. pp 219--222. Google ScholarDigital Library
- M Hearst, A Elliott, J English, R Sinha, K Swearingen, K Yee. Finding the flow in website search. Communications of the ACM, 45(9):42--49, 2002. Google ScholarDigital Library
- Jansen, B. J. and Pooch, U. 2000. Web user studies: A review and framework for future work. Journal of the American Society of Info Sci and Tech. Vol. 52 No. 3 pp. 235 -- 246. Google ScholarDigital Library
- Jansen, B. J., Spink, A., Bateman, J., Saracevic, T. 1998. Real life information retrieval: A study of user queries on the web. SIGIR Forum, Vol. 32 No. 1 pp. 5--17. Google ScholarDigital Library
- Jones M, Buchanan G, Thimbleby H. 2002. Sorting out searching on Small Screen Devices. Proc Mobile HCI pp 81--94. Google ScholarDigital Library
- Rose, DE., Levinson, D. 2004. Understanding User Goals in Web Search. Proceedings of WWW pp 13--19. Google ScholarDigital Library
- Shneiderman, B., Byrd, D.,Croft, WB. 1997. Clarifying search: A user-interface framework for text searches. D-Lib Magazine.Google Scholar
- Silverstein, C., Henzinger, M., Marais, H., Moricz, M. 1999. Analysis of a Very Large Web Search Engine Query Log SIGIR Forum, Vol. 33 No. 1 pp. 6--12. Google ScholarDigital Library
- Spink, A., Jansen, B., Wolfram, D., Saracevic, T. 2002. From E-Sex to E-Commerce: Web search changes. IEEE Computer Vol. 35 No.3 pp. 107--10. Google ScholarDigital Library
Index Terms
- A large scale study of wireless search behavior: Google mobile search
Recommendations
A large scale study of European mobile search behaviour
MobileHCI '08: Proceedings of the 10th international conference on Human computer interaction with mobile devices and servicesRecent 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 ...
A Large-Scale Study of Mobile Search Examination Behavior
SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information RetrievalWith the rapid growth of mobile web search, it is necessary and important to understand user's examination behavior on mobile devices in the absence of clicks. Previous studies used viewport metrics to estimate user's attention. However, there still ...
A Large-Scale Study of User Image Search Behavior on the Web
CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing SystemsIn this study, we analyze user image search behavior from a large-scale Yahoo! Image Search query log, based on the hypothesis that behavior is dependent on query type. We categorize queries using two orthogonal taxonomies (subject-based and facet-based)...
Comments