Search log analysis: What it is, what's been done, how to do it

Library and Information Science Research

Volumn 28, Issue 3, 2006, Pages 407-432

  Jansen, Bernard J ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33748976562     PISSN: 07408188     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.lisr.2006.06.005     Document Type: Article

References (65)

1. Baeza-Yates R., and Castillo C. Relating Web structure and user search behavior. Paper presented at the 10th World Wide Web Conference, Hong Kong, China (2001) May
2. Bains, S. (1997). End-user searching behavior: Considering methodologies. The Katharine Sharp Review, 1(4). Retrieved June 27, 2006, from http://mirrored.ukoln.ac.uk/lis-journals/review/review/winter1997/bains.html
3. Bates M.J. Where should the person stop and the information search interface start?. Information Processing and Management 26 (1990) 575-591
4. Belkin N., Cool C., Stein A., and Theil S. Cases, scripts, and information-seeking strategies: On the design of interactive information retrieval systems. Expert Systems With Applications 9 (1995) 379-395
5. Blecic D., Bangalore N.S., Dorsch J.L., Henderson C.L., Koenig M.H., and Weller A.C. Using transaction log analysis to improve OPAC retrieval results. College and Research Libraries 59 1 (1998) 39-50
6. Borgman C.L., Hirsh S.G., and Hiller J. Rethinking online monitoring methods for information retrieval systems: From search product to search process. Journal of the American Society for Information Science 47 (1996) 568-583
7. Cacheda F., and Viña Á. Experiences retrieving information in the World Wide Web. Paper presented at the 6th IEEE Symposium on Computers and Communications, Hammamet, Tunisia (2001) July
8. Chamberlain, K. (1995, November). What is Grounded Theory? Retrieved September 17, 2005, from http://kerlins.net/bobbi/research/qualresearch/bibliography/gt.html
9. Chau, M., Fang, X., and Sheng, O.R.L. (In press). Analyzing the query logs of a Web site search engine. Journal of the American Society for Information Science and Technology.
10. Choo, C., & Turnbull, D. (2000). Information seeking on the Web: An integrated model of browsing and searching. First Monday, 5(2). Retrieved June 27, 2006, from http://firstmonday.org/issues/issue5_2/choo/index.html
11. Choo C., Betlor B., and Turnbull D. A behavioral model of information seeking on the Web: Preliminary results of a study of how managers and IT specialists use the Web. Paper presented at the 61st Annual Meeting of the American Society for Information Science, Pittsburgh, PA (1998)
12. Cooper M.D. Design considerations in instrumenting and monitoring Web-based information retrieval systems. Journal of the American Society for Information Science 49 (1998) 903-919
13. Croft W., Cook R., and Wilder D. Providing government information on the Internet: Experiences with THOMAS. Paper presented at the Digital Libraries Conference, Austin, TX (1995, June)
14. Drott M.C. Using Web server logs to improve site design. Paper presented at the 16th Annual International Conference on Computer Documentation, Quebec, Canada (1998)
15. Dumais, S.T. (2002, May). Web experiments and test collections. Retrieved April20, 2003, from http://www2002.org/presentations/dumais.pdf
16. Efthimiadis E.N., and Robertson S.E. Feedback and interaction in information retrieval. In: Oppenheim C. (Ed). Perspectives in information management (1989), Butterworths, London 257-272
17. Fourie I. A review of Web information-seeking/searching studies (2000-2002): Implications for research in the South African context. Paper presented at Progress in Library and Information Science in Southern Africa: 2d Biannial DISSAnet Conference, Pretoria, South Africa (2002, October)
18. Fourie I., and van den Berg H. A story told by Nexus transaction logs: What to make of it. Paper presented at 7th Southern African Online Meeting, Muldersdrift, South Africa (2003, June)
19. Glaser B., and Strauss A. The discovery of grounded theory: Strategies for qualitative research (1967, June), Aldine Publishing Co, Chicago
20. Griffiths, J.R., Hartley, R.J., & Willson, J.P. (2002). An improved method of studying user-system interaction by combining transaction log analysis and protocol analysis. Information Research, 7(4). Retrieved June 27, 2006, from http://InformationR.net/ir/7-4/paper139.html
21. Hancock-Beaulieu M. Interaction in information searching and retrieval. Journal of Documentation 56 (2000) 431-439
22. Hancock-Beaulieu M., Robertson S., and Nielsen C. Evaluation of online catalogues: An assessment of methods (BL Research Paper 78) (1990), The British Library Research and Development Department, London
23. Hargittai E. Beyond logs and surveys: In-depth measures of people's Web use skills. Journal of the American Society for Information Science and Technology 53 (2002) 1239-1244
24. He D., Göker A., and Harper D.J. Combining evidence for automatic Web session identification. Information Processing and Management 38 (2002) 727-742
25. Jansen B.J. Designing automated help using searcher system dialogues. Paper presented at the 2003 IEEE International Conference on Systems, Man and Cybernetics, Washington, D.C., USA (2003, October)
26. Jansen B.J., and Kroner G. The impact of automated assistance on the information retrieval process. Paper presented at The ACM CHI 2003 Conference on Human Factors in Computing Systems, Fort Lauderdale, Florida (2003, April)
27. Jansen B.J., and McNeese M.D. Evaluating the effectiveness of and patterns of Interactions with automated searching assistance. Journal of the American Society of Information Science and Technology 56 14 (2006) 1480-1503
28. Jansen B.J., and Pooch U. Web user studies: A review and framework for future work. Journal of the American Society of Information Science and Technology 52 (2001) 235-246
29. Jansen B.J., and Spink A. An analysis of Web information seeking and use: Documents retrieved versus documents viewed. Paper presented at 4th International Conference on Internet Computing, Las Vegas, Nevada (2003, June)
30. Jansen B.J., and Spink A. How are we searching the World Wide Web? A comparison of nine search engine transaction logs. Information Processing and Management 42 (2005) 248-263
31. Jansen B.J., Spink A., and Saracevic T. Real life, real users, and real needs: A study and analysis of user queries on the Web. Information Processing and Management 36 (2000) 207-227
32. Jansen B.J., Spink A., and Pederson J. Trend analysis of AltaVista Web searching. Journal of the American Society for Information Science and Technology 56 (2005) 559-570
33. Jones S., Cunningham S., and McNab R. Usage analysis of a digital library. Paper presented at the Third ACM Conference on Digital Libraries, Pittsburgh, PA (1998, June)
34. Kelly D. Understanding implicit feedback and document preference: A naturalistic user study (2004), New Brunswick, Rutgers, The State University of New Jersey
35. Kelly D., and Teevan J. Implicit feedback for inferring user preference: A bibliography. SIGIR Forum 37 2 (2003) 18-28
36. Kinsella J., and Bryant P. Online public access catalogue research in the United Kingdom: An overview. Library Trends 35 (1987) 619-629
37. Korfhage R. Information storage and retrieval (1997), Wiley, New York
38. Kurth M. The limits and limitations of transaction log analysis. Library Hi Tech. 11 2 (1993) 98-104
39. Lin S.-J. Design space of personalized indexing: Enhancing successive Web searching for transmuting information problems. Paper presented at the Eighth Americas Conference on Information Systems, Dallas, Texas (2002, August)
40. Meister D., and Sullivan D. Evaluation of user reactions to a prototype on-line information retrieval system: Report to NASA by the Bunker-Ramo Corporation. Report Number NASA CR-918 (1967), Bunker-Ramo Corporation, Oak Brook, IL
41. Millsap L., and Ferl T. Search patterns of remote users: An analysis of OPAC transaction logs. Information Technology and Libraries 11 (1993) 321-343
42. Miwa M. User situations and multiple levels of users goals in information problem solving processes of AskERIC users. Paper presented at the 2001 Annual Meeting of the American Society for Information Sciences and Technology, San Francisco, CA, USA (2001, February)
43. Montgomery A., and Faloutsos C. Identifying Web browsing trends and patterns. IEEE Computer 34 7 (2001) 94-95
44. Moukdad H., and Large A. Users' perceptions of the Web as revealed by transaction log analysis. Online Information Review 25 (2001) 349-358
45. Nicholas D., Huntington P., Lievesley N., and Withey R. Cracking the code: Web log analysis. Online and CD ROM Review 23 (1999) 263-269
46. Oard D., and Kim J. Modeling information content using observable behavior. Paper presented at the 64th Annual Meeting of the American Society for Information Science and Technology, Washington, D.C., USA (2001, October-November)
47. Ozmutlu S., Ozmutlu H.C., and Spink A. A study of multitasking Web searching. Paper presented at the IEEE ITCC'03: International Conference on Information Technology: Coding and Computing, Las Vegas, Nevada (2003, June)
48. Park S., Bae H., and Lee J. End user searching: A Web log analysis of NAVER, a Korean Web search engine. Library and Information Science Research 27 (2005) 203-221
49. Penniman W.D. A stochastic process analysis of online user behavior. Paper presented at the Annual Meeting of the American Society for Information Science, Washington, DC (1975, October)
50. Peters T. The history and development of transaction log analysis. Library Hi Tech. 42 11 (1993) 41-66
51. Phippen A., Sheppard L., and Furnell S. A practical evaluation of Web analytics. Internet Research: Electronic Networking Applications and Policy 14 (2004) 284-293
52. Pitkow J.E. In search of reliable usage data on the WWW. Paper presented at Santa Clara, CA, the Sixth International World Wide Web Conference (1997, April)
53. Rice R.E., and Borgman C.L. The use of computer-monitored data in information science. Journal of the American Society for Information Science 44 (1983) 247-256
54. Ross N., and Wolfram D. End user searching on the Internet: An analysis of term pair topics submitted to the excite search engine. Journal of the American Society for Information Science 51 (2000) 949-958
55. Sandore B., Flaherty P., and Kaske N.K. A manifesto regarding the future of transaction log analysis. Library Hi Tech. 11 2 (1993) 105-111
56. Saracevic T. Extension and application of the stratified model of information retrieval interaction. Paper presented at the Annual Meeting of the American Society for Information Science, Washington, DC (1997, November)
57. Silverstein C., Henzinger M., Marais H., and Moricz M. Analysis of a very large Web search engine query log. SIGIR Forum 33 1 (1999) 6-12
58. Spink A. Multitasking information behavior and information task switching: An exploratory study. Journal of Documentation 60 (2004) 336-345
59. Spink A., and Jansen B.J. Web search: Public searching of the Web (2004), Kluwer, New York
60. Spink, A., Wilson, T., Ellis, D., & Ford, F. (1998). Modeling users' successive searches in digital environments. D-Lib Magazine. Retrieved June 27, 2006, from http://www.dlib.org/dlib/april98/04spink.html
61. Sullivan, D. (2001). SpiderSpotting: When a search engine, robot or crawler visits. Retrieved August 5, 2003, from http://www.searchenginewatch.com/webmasters/article.php/2168001
62. Toms E.G., Freund L., and Li C. WiIRE: The Web interactive information retrieval experimentation system prototype. Information Processing and Management 40 (2004) 655-675
63. Wang P., Berry M., and Yang Y. Mining longitudinal Web queries: Trends and patterns. Journal of the American Society for Information Science and Technology 54 (2003) 743-758
64. Wu K.-L., Yu P.S., and Ballman A. SpeedTracer: A Web usage mining and analysis tool. IBM Systems Journal 37 1 (1998) 89-107
65. Yuan W., and Meadow C.T. A study of the use of variables in information retrieval user studies. Journal of the American Society for Information Science 50 (1999) 140-150