Associating search and navigation behavior through log analysis

Journal of the American Society for Information Science and Technology

Volumn 56, Issue 9, 2005, Pages 913-934

  Mat Hassan, Mazlita ^a   Levene, Mark ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; DATA REDUCTION; JAVA PROGRAMMING LANGUAGE; MATHEMATICAL MODELS; ONLINE SYSTEMS; PROGRAM DOCUMENTATION; QUERY LANGUAGES; SEARCH ENGINES;

LOG ANALYSIS; NAVIGATION BEHAVIOR; ONLINE INFORMATION SEARCHING; QUERY SUBMISSION;

INFORMATION RETRIEVAL;

EID: 23044510488     PISSN: 15322882     EISSN: None     Source Type: Journal    
DOI: 10.1002/asi.20185     Document Type: Review

References (75)

1. Bates, M.J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5), 407-424.
2. Bieber, M., & Kacmar, C. (1995). Designing hypertext support for computational applications. Communications of the ACM, 38(8), 99-107.
3. Borges, J., & Levene, M. (1999, August). Data mining of user navigation patterns. Paper presented at the Workshop on Web Usage Analysis and User Profiling, San Diego, CA.
4. Borgman, C. (1983). End user behavior on an online information retrieval system: A computer monitoring study. ACM SIGIR Forum, 17(4), 162-176.
5. Borgman, C., Hirsh, S., & Hiller, J. (1996). Rethinking online monitoring methods for information retrieval systems: From search product to search process. Journal of the American Society for Information Science, 47(7), 568-583.
6. Brunk, B. (1999). Overview and preview tools for navigating the world-wide web. SILS Technical Report TR-1999-03. Retrieved July 20, 2003, from http://ils.unc.edu/ils/research/reports/TR-1999-03.pdf
7. Bruza, P.D., & Dennis, S. (1997, June). Query-reformulation on the internet: Empirical data and the hyperindex search engine. Paper presented at the RIAO Conference: Intelligent Text and Image Handling, Montreal, Canada.
8. Campagnoni, F., & Ehrlich, K. (1989). Information retrieval using a hypertext-based help system. ACM Transactions on Information Systems, 7(3), 271-291.
9. Catledge, L.D., & Pitkow, J.E. (1995). Characterizing browsing strategies in the world wide web. Computer Networks and ISDN Systems, 27(6), 1065-1073.
10. Cockburn, A., McKenzie, B., & Smith, M. (2002). Pushing back: Evaluating a new behaviour for the back and forward buttons in web browsers. International Journal of Human-Computer Studies, 57(5), 397-414.
11. Coleman, W.D., Williges, R.C., & Wixon, D.R. (1985). Collecting detailed user evaluations of software interfaces (pp. 240-244). Proceedings of the 29th Annual Meeting of the Human Factors Society. Santa Monica, CA: Human Factors Society.
12. Cooley, R., Tan, P.N., & Srivastava, J. (1999). Discovery of interesting usage patterns from Web data. In M. Spiliopoulou (Ed.), Lecture Notes in Computer Science Series (pp. 163-182). Heidelberg/Berlin/New York: Springer-Verlag.
13. Cooper, M. (2001). Usage patterns of a web-based library catalog. Journal of the American Society for Information Science and Technology, 52(2), 137-148.
14. Conover, W.J. (1999). Practical nonparametric statistics (3rd ed.). New York: Wiley.
15. Elkerton, J., & Williges, R.C. (1984). Information retrieval strategies in a file-search environment. Human Factors, 26, 171-184.
16. Fenichel, C.H. (1981). Online searching: Measures that discriminate among users with different types of experiences. Journal of the American Society for Information Science and Technology, 32(1), 23-32.
17. Field, A. (2000). Discovering statistics using SPSS for windows. Newbury Park, CA: Sage.
18. Furnas, G. (1986). Generalised fisheye views. In M. Mantei & P. Orbeton (Eds.), the Proceedings of ACM SIGCHI '86, Conference on Human Factors in Computing Systems (pp. 16-23). New York: ACM.
19. Furuta, R., Shipman, F. M., Marshall, C. C., Brenner, D., & Hsieh, H. (1997). Hypertext paths and the world-wide web: Experiences with Walden's paths. In the Proceedings of ACM Hypertext 97 (pp. 167-176). New York: ACM.
20. Geisler, G. (2000). Enriched links: A framework for improving web navigation using pop-up views. SILS Technical Report TR-2000-02. Retrieved July 13, 2003, from http://ils.unc.edu/ils/research/reports/TR-2000-02.pdf
21. He, D., Göker, A., & Harper, D. (2002). Combining evidence for automatic web session identification. Information Processing and Management, 38(5), 727-742.
22. Hearst, M. (1995). TileBars: Visualization of term distribution information in full text information access. In I.R. Katz, R. Mack, L. Marks, M.B. Rosson, & J. Nielsen (Eds.), the Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'95) (pp. 59-66). New York: ACM.
23. Hoelscher, C. (1998, November). How internet experts search for information on the web. Paper presented at WebNet98: World Conference of the World Wide Web, Internet, and Intranet, Orlando, FL.
24. Hölscher, C., & G. Strube. (2000). Web search behavior of internet experts and newbies. Computer Networks, 33(1), 337-346.
25. Houben, G. (1993). The design of an online help facility for ExSpect. Technical Report CSN 93/19, Eindhoven University of Technology, Eindhoven, The Netherlands. Retrieved March 24, 2004, from http://citeseer.ist.psu.edu/117765.html
26. Howitt, D., & Cramer, D. (1999). A guide to computing statistics with SPSS for windows. New York: Wiley.
27. Huberman, B.A., Pirolli, PL., Pitkow, J.E., & Lukose, R.M. (1998). Strong regularities in world wide web surfing. Science, 280, 95-97.
28. Hsieh-Yee, I. (1993). Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers. Journal of the American Society for Information Science and Technology, 44(3), 161-174.
29. Jansen, B.J. (2000). The effect of query complexity on web searching results. Information Research: An Electronic Journal, 6(1). Retrieved July 27, 2003, from http://informationr.net/ir/6-1/paper87.html
30. Jansen, B.J., & Pooch, U. (2000). A review of web searching studies and a framework for future research. Journal of the American Society of Information Science and Technology, 52(3), 235-246.
31. Jansen, B.J., & Spink, A. (2000). Methodological approach in discovering user search patterns through web log analysis. Bulletin of the American Society for Information Science, 27(1), 15-16.
32. Jansen, B.J., & Spink, A. (2003, June). An analysis of web documents retrieved and viewed. Paper presented at the 4th International Conference on Internet Computing, Las Vegas, NV.
33. Jansen, B.J., Spink, A., & Saracevic, T. (2000). Real life, real users, and real needs: A study and analysis of user queries on the web. Information Processing and Management, 36(2), 207-227.
34. Jones, S., Cunningham, S.J., & McNab, R. (1998). An analysis of usage of a digital library. In the Proceedings of ECDL'98 Second European Conference on Digital Libraries (pp. 261-277). Heidelberg/Berlin/New York: Springer-Verlag.
35. Koenemann, J., & Belkin, N. (1996). A case for interaction: A study of interactive information retrieval behavior and effectiveness. In the Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (pp. 205-212). New York: ACM.
36. Kramer, D. (1999, September). API documentation from source code comments: A case study of Javadoc. Paper presented at the 17th Annual International Conference on Computer Documentation, New Orleans, LA.
37. Krueger, C. (1992). Software reuse. ACM Computing Survey, 24(2), 131-183.
38. Lamping, J., & Rao, R. (1996, April). Visualizing large trees using the hyperbolic browser. Paper presented at the Conference on Human Factors in Computing Systems, Vancouver, Canada.
39. Levene, M., Borges, J., & Loizou, G. (2001). Zipf's law for web surfers. Knowledge and Information Systems: An International Journal, 3, 120-129.
40. Levene, M., & Loizou, G. (2002). Web interaction and the navigation problem in hypertext. In A. Kent, J. Williams, & C. Hall (Eds.), Encyclopedia of microcomputers (Vol. 28, Suppl.7, pp. 381-398). New York: Marcel Dekker.
41. Lin, X. (1997). Map displays for information retrieval. Journal of the American Society for Information Science, 48(1), 40-54.
42. Marchionini, G. (1989). Information-seeking strategies of novices using a full text electronic encyclopedia. Journal of the American Society of Information Science and Technology, 40(1), 54-66.
43. Marshall, C., & Irish, P. (1989). Guided tours and on-line presentations: How authors make existing hypertext intelligible for readers. In the Proceedings of the ACM Conference on Hypertext (pp. 15-26). New York: ACM.
44. Mat-Hassan, M., & Levene, M. (2001). Can navigational assistance improve search experience: A user study. First Monday, 6(9). Retrieved July 13, 2003, from http://www.firstmonday.org/issues/issue6_9/mat/index.html
45. Mat-Hassan, M., &Levene, M. (2003, May). Understanding web searching & navigation patterns. Poster presented at the 12th International WWW Conference, Budapest, Hungary. Retrieved July 20, 2003, from http://www2003.org/cdrom/papers/poster/p061/p61-mathassan.html
46. McCray, A., & Tse, T. (2003, November). Understanding search failures in consumer health information systems. Paper presented at the American Medical Informatics Associations (AMIA) Symposium.
47. McKenzie, B., & Cockburn, A. (2001, January). An empirical analysis of web page revisitation. Paper presented at the 34th Annual Hawaii International Conference on System Sciences.
48. Moukdad, H., & Large, A. (2001). Users' perceptions of the web as revealed by transaction log analysis. Online Information Review, 25(6), 349-358.
49. Navarro-Prieto, R., Scaife, M., & Rogers, Y. (1999). Cognitive strategies in web searching. Paper presented at the 5th Conference on Human Factors and the Web. Retrieved July 13, 2003, from http://zing.ncsl.nist.gov/hfweb/proceedings/navarro-prieto/
50. Nielsen, J. (2003, June). Information foraging: Why Google makes people leave your site faster. Jakob Nielsen's Alertbox. Retrieved January 20, 2004, from http://www.useit.com/alertbox/20030630.html
51. Olston, C., & Chi, E. (2003). ScentTrails: Integrating browsing and searching on the web. ACM Transactions on Computer-Human Interaction, 10(3), 177-197.
52. Peters, T. (1993). The history and development of transaction log analysis. Library Hi-Tech, 42(11:2), 41-66.
53. Pirolli, P. (1997). Computational models of information scent following in a very large browsable text collection. In S. Pemberton (Ed.), the International Conference on Human Factors in Computing Systems (CHI) (pp. 3-10). New York: ACM.
54. Rosenfield, L., & Morville, P. (1998). Information architecture for the world wide web. Sebastapol, CA: O'Reilly and Associates.
55. Rumpradit, C., & Donnell, M.L. (1999). Navigational cues on user interface design to produce better information seeking on the world wide web. In Proceedings of the 32nd Hawaii International Conference on System Sciences (HICSS-32), IEEE Computer Society Press.
56. Sedgewick, R. (1998). Algorithms. Reading, MA: Addison-Wesley.
57. Selber, S.A., Johnson-Eilola, J., & Mehlenbacher, B. (1997). Online support systems: Tutorials, documentation, and help. In A.B. Tucker, Jr. (Ed.), The computer science and engineering handbook (pp. 1619-1643). Boca Raton, FL: CRC Press.
58. Sewell, W., & Teitelbaum, S. (1986). Observations of end-user online searching behavior over eleven years. Journal of the American Society for Information Science, 37(4), 234-245.
59. Shipman, F., Furuta, R., Brenner, D., Chung, C., & Hsieh, H. (2000). Guided paths through web-based collections: Design, experiences, and adaptations. Journal of the American Society of Information Sciences, 51(3), 260-272.
60. Shneiderman, B. (1998). Designing the user interface: Strategies for effective human-computer interaction (3rd ed.). Reading, MA: Addison-Wesley Longman.
61. Silverstein, C., Henzinger, M., Marais, H., & Moricz, M. (1999). Analysis of a very large web search engine query log. SIGIR Forum, 33(1), 6-12.
62. Spink, A., Bateman, J., & Jansen, B. (1999). Searching the Web: A survey of Excite users. Internet Research: Electronic Networking Applications and Policy, 9(2), 117-128.
63. Spink, A., Jansen, B.J., & Ozmultu, H.C. (2000). Use of query reformulation and relevance feedback by web users. Internet Research: Electronic Networking Applications and Policy, 10(4), 317-328.
64. Spink, A., Wolfram, D., Jansen, B., & Saracevic, T. (2001). Searching the web: The public and their queries. Journal of the American Society for Information Science and Technology, 53(2), 226-234.
65. Spiliopoulou, M., & Faulstich, L.C. (1998). WUM: A tool for web utilization analysis. Paper presented at the International Workshop on the Web and Databases, Valencia, Spain.
66. Su, L.T. (1992). Evaluation measures for interactive information retrieval. Information Processing and Management. 28(4), 503-516.
67. Sutcliffe, A.G., Ennis, M., & Watkinson, S.J. (2000). Empirical studies of end-user information searching. Journal of the American Society for Information Science, 51 (13), 1211-1231.
68. Tauscher, L., & Greenberg, S. (1997). Revisitation patterns in world wide web navigation. In S. Pemberton (Ed.), the Proceedings of the ACM SIGCHI'97 Conference on Human Factors in Computing Systems (pp. 399-406). New York: ACM.
69. Tochtermann, K., & Dittrich, G. (1992). Fishing for clarity in hyperdocuments with enhanced fisheye-views. In the Proceedings of ACM Conference on Hypertext (pp. 212-221). New York: ACM.
70. Tolle, J. (1984). Monitoring and evaluation of information systems via transaction log analysis. In the Proceedings of the 7th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 247-258). New York: ACM.
71. Utting, K., & Yankelovich, N. (1989). Context and orientation in hypermedia networks. ACM Transactions on Information Systems, 7(1), 58-84.
72. Wang, P., Berry, M.W., & Yang, Y. (2003). Mining longitudinal web queries: Trends and patterns. Journal of the American Society for Information Science and Technology, 54(8), 743-758.
73. Wheeldon, R., & Levene, M. (2003, November). The best trail algorithm for adaptive navigation in the world-wide-web. In the Proceedings of the 1st Latin American Web Congress, Santiago, Chile.
74. Wheeldon, R., Levene, M., & Zin, N. (2002, May). Autodoc: A search and navigation tool for web-based program documentation. Poster presented at the Eleventh International World Wide Web Conference, Hawaii. Retrieved July 20, 2003, from http://www.dcs.bbk.ac.uk/~mark/download/autodoc_www2002.pdf
75. Zellweger, P. (1989). Scripted documents: A hypermedia path mechanism. In the Proceedings of ACM Conference on Hypertext (pp. 1-13). New York: ACM.