ABSTRACT
Search engines return ranked lists of Web pages in response to queries. These pages are starting points for post-query navigation, but may be insufficient for search tasks involving multiple steps. Search trails mined from toolbar logs start with a query and contain pages visited by one user during post-query navigation. Implicit endorsements from many trails can enhance result ranking. Rather than using trails solely to improve ranking, it may also be worth providing trail information directly to users. In this paper, we quantify the benefit that users currently obtain from trail-following and compare different methods for finding the best trail for a given query and each top-ranked result. We compare the relevance, topic coverage, topic diversity, and utility of trails selected using different methods, and break out findings by factors such as query type and origin relevance. Our findings demonstrate value in trails, highlight interesting differences in the performance of trailfinding algorithms, and show we can find best-trails for a query that outperform the trails most users follow. Findings have implications for enhancing Web information seeking using trails.
- Agichtein, E., Brill, E. & Dumais, S. (2006). Improving web search ranking by incorporating user behavior information. Proc. SIGIR, 19--26. Google ScholarDigital Library
- Bates, M.J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5): 407--424.Google ScholarCross Ref
- Bilenko, M. & White, R.W. (2008). Mining the search trails of surfing crowds: identifying relevant websites from user activity. Proc. WWW, 51--60. Google ScholarDigital Library
- Bush, V. (1945). As we may think. Atl. Monthly, 3(2): 37--46. Google ScholarDigital Library
- Chalmers, M., Rodden, K. & Brodbeck, D. (1998). The order of things: activity-centered information access. Proc. WWW. Google ScholarDigital Library
- Clarke, C.L.A. et al. (2008). Novelty and diversity in information retrieval evaluation. Proc. SIGIR, 659--666. Google ScholarDigital Library
- Cole, M. et al. (2009). Usefulness as the criterion for evaluation of interactive information retrieval. Proc. HCIR, 1--4.Google Scholar
- Downey, D., Dumais, S. & Horvitz, E. (2007). Models of searching and browsing: languages, studies, and application. Proc. IJCAI, 2740--2747. Google ScholarDigital Library
- Fox, S. et al. (2005). Evaluating implicit measures to improve the search experience. TOIS, 23(2): 147--168. Google ScholarDigital Library
- Freyne, J. et al. (2007). Collecting community wisdom: integrating social search and social navigation. IUI, 52--61. Google ScholarDigital Library
- Guinan, C. & Smeaton, A.F. (1993). Information retrieval from hypertext using dynamically planned guided tours. Proc. ECHT, 122--130. Google ScholarDigital Library
- Hammond, N. & Allison, L. (1988). Travels around a learning support environment: rambling, orienteering, or touring? Proc. SIGCHI, 269--273. Google ScholarDigital Library
- Joachims, T. (2002). Optimizing search engines using click-through data. Proc. SIGKDD, 133--142. Google ScholarDigital Library
- Joachims, T., Freitag, D. & Mitchell, T. (1997). WebWatcher: a tour guide for the world wide web. Proc. IJCAI, 770--775.Google Scholar
- Olston, C. & Chi, E.H. (2003). ScentTrails: integrating browsing and searching on the web. TOCHI, 10(3): 1--21. Google ScholarDigital Library
- O'Day, V. & Jeffries, R. (1993). Orienteering in an information landscape: how information seekers get from here to there. Proc. INTERCHI, 438--445. Google ScholarDigital Library
- Pandit, S. & Olston, C. (2007). Navigation-aided retrieval. Proc. WWW, 391--400. Google ScholarDigital Library
- Pirolli, P. & Card, S.K. (1999). Information foraging. Psychological Review, 106(4): 643--675.Google ScholarCross Ref
- Shen, X., Dumais, S. & Horvitz, E. (2005). Analysis of topic dynamics in web search. Proc. WWW, 1102--1103. Google ScholarDigital Library
- Singhal, A. (2001). Modern information retrieval: a brief overview. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 24(4): 35--43.Google Scholar
- Teevan, J. et al. (2004). The perfect search engine is not enough: a study of orienteering behavior in directed search. Proc. SIGCHI, 415--422. Google ScholarDigital Library
- Trigg, R.H. (1988). Guided tours and tabletops: tools for communicating in a hypertext environment. TOIS, 6(4). Google ScholarDigital Library
- Vakkari, P. & Taneli, M. (2009). Comparing google to ask-a-librarian service for answering factual and topic questions. Proc. EDCL, 352--363. Google ScholarDigital Library
- Wang, X. & Zhai, C. (2009). Beyond hyperlinks: organizing information footprints in search logs to support effective browsing. Proc. CIKM, 1237--1246. Google ScholarDigital Library
- Wexelblat, A. & Maes, P. (1999). Footprints: history-rich tools for information foraging. Proc. SIGCHI, 270--277. Google ScholarDigital Library
- Wheeldon, R. & Levene, M. (2003). The best trail algorithm for assisted navigation of web sites. Proc. LA-WEB, 166. Google ScholarDigital Library
- White, R.W., Bilenko, M., & Cucerzan, S. (2007). Studying the use of popular destinations to enhance web search interaction. Proc. SIGIR, 159--166. Google ScholarDigital Library
- White, R.W. & Drucker, S.M. (2007). Investigating behavioral variability in web search. Proc. WWW, 21--30. Google ScholarDigital Library
- White, R.W. & Huang, J. (2010). Assessing the scenic route: measuring the value of search trails in web logs. Proc. SIGIR Google ScholarDigital Library
- Zellweger, P.T. (1989). Scripted documents: a hypermedia path mechanism. Proc. Hypertext, 1--14. Google ScholarDigital Library
Index Terms
- Studying trailfinding algorithms for enhanced web search
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