![]() Journal of the American Society of Information Science and Technology 52, 235–246 (2001) ![]() Jansen, B.J., Pooch, U.: Web User Studies: A Review and Framework for Future Work. Journal of the American Society for Information Science and Technology 56, 1480–1503 (2005) Jansen, B.J., McNeese, M.D.: Evaluating the Effectiveness of and Patterns of Interactions with Automated Searching Assistance. Jansen, B.J.: Using Temporal Patterns of Interactions to Design Effective Automated Searching Assistance Systems. Jansen, B.J.: Seeking and Implementing Automated Assistance During the Search Process. He, D., Göker, A., Harper, D.J.: Combining Evidence for Automatic Web Session Identification. In: Tenth International Conference on Information and Knowledge Management, Atlanta, Georgia, USA, pp. Hansen, M.H., Shriver, E.: Using Navigation Data to Improve Ir Functions in the Context of Web Search. Journal of the American Society of Information Science and Technology 57, 69–86 (2006)Ĭatledge, L.D., Pitkow, J.E.: Characterizing Browsing Strategies in the World Wide Web. Journal of Documentation 38, 61–7, 145-164 (1982)īodoff, D.: Relevance for Browsing, Relevance for Searching. ACM Press, New York (2003)īelkin, N., Oddy, R., Brooks, H.: Ask for Information Retrieval, Parts 1 & 2. In: 26th Annual international ACM Conference on Research and Development in Information Retrieval, Toronto, Canada, pp. 321–328 (2004)īelkin, N., Cool, C., Kelly, D., Lee, H.-J., Muresan, G., Tang, M.-C., Yuan, X.-J.: Query Length in Interactive Information Retrieval. In: 27th annual international conference on Research and development in information retrieval, Sheffield, U.K., pp. ACM, New York (2003)īeitzel, S.M., Jensen, E.C., Chowdhury, A., Grossman, D., Frieder, O.: Hourly Analysis of a Very Large Topically Categorized Web Query Log. In: Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, Canada, pp. KeywordsĪnick, P.: Using Terminological Feedback for Web Search Refinement - a Log-Based Study. Results of this research may lead to tools to better support Web searching. Implications are that unique sessions may be a better indicator than the common industry metric of unique visitors for measuring search traffic. ![]() Regardless of the method, mean session length was fewer than three queries and the mean session duration was less than 30 minutes. ![]() This method also results in an 82% increase in the number of sessions compared to Internet Protocol address and cookie alone. Research results shows that defining sessions by query reformulation provides the best measure of session identification, with a nearly 95% accuracy. We compare three methods for defining sessions using: 1) Internet Protocol address and cookie 2) Internet Protocol address, cookie, and a temporal limit on intra-session interactions and 3) Internet Protocol address, cookie, and query reformulation patterns. We analyze 2,465,145 interactions from 534,507 Web searchers. In this research, we investigate three techniques for defining user sessions on Web search engines.
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