Findex: Search result categories help users when document ranking fails

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2005, Pages 131-140

  Käki, Mika ^a  

^a Department of Computer Sciences ^*  (Finland)

Author keywords

Categorization; Clustering; Information access; Search user interfaces; Web search

Indexed keywords

ALGORITHMS; INFORMATION RETRIEVAL; USER INTERFACES; WEB BROWSERS;

CATEGORIZATION; CLUSTERING; INFORMATION ACCESS;

SEARCH ENGINES;

EID: 57149133379     PISSN: 02749696     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. Anick, P.: Using Terminological Feedback for Web Search Refinement - A Log-based Study. Proceedings of ACM SIGIR'03 (Toronto, Canada), ACM Press 2003.
2. Broder, A.: A Taxonomy of Web Search. SIGIR Forum, Vol. 36, No. 2, ACM Press 2002, 3-10.
3. Bruza, P., McArthur, R., and Dennis, S.: Interactive Internet Search: Keyword, Directory and Query Reformulation Mechanisms Compared. Proceedings of ACM SIGIR'00, ACM Press 2000, 280-287.
4. Chen, H. and Dumais, S.: Bringing Order to the Web: Automatically Categorizing Search Results. Proceedings of CHI'2000 (The Hague, Neatherlands), ACM Press 2000, 145-152.
5. Cutting, D., Karger, D., Pedersen, J., and Tukey, J.: Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections. Proceedings of SIGIR 1992 (Copenhagen, Denmark), ACM Press 1992, 318-329.
6. Dennis, S., McArthur, R., and Bruza, P.: Searching the World Wide Web Made Easy? The Cognitive Load Imposed by Query Refinement Mechanisms. Proceedings of the Third Australian Document Computing Conference, ADCS'98 (Sidney, Australia), University of Sidney, TR-518, 1998, 65-71.
7. Drori, O.: Display of Search Results in Google-based Yahoo! vs. LCC&K Interfaces: A Comparison Study. Proceedings of Informing Science 2003 Conference (Pori, Finland), Informing Science 2003, 309-320.
8. Dumais, S. and Chen, H.: Hierarchical Classification of Web Content. Proceedings of SIGIR 2000 (Athens, Greece), ACM Press 2001, 256-263.
9. Dumais, S., Cutrell, E., and Chen, H.: Optimizing Search by Showing Results in Context. Proceedings of CHI'2001 (Seattle, USA), ACM Press 2001, 277-284.
10. Dumais, S., Furnas, G., Landauer, T., Deerwester, S., and Harshman, R.: Using Latent Semantic Analysis to Improve Access to Textual Information. Proceedings of CHI'88 (Washington DC, USA), ACM Press 1988, 281-285.
11. Hearst, M. and Pedersen, J.: Reexamining the Cluster Hypohesis: Scatter/Gather on Retrieval Results. Proceedings of ACM SIGIR'96 (Zurich, Switzerland), ACM Press 1996.
12. th International World Wide Web Conference (Amsterdam, Neatherlands), 2000.
13. Jansen, B., Pooch, U. A Review of Web Searching Studies and a Framework for Future Research. Journal of the American Society for Information Science and Technology, Vol. 52, No. 3, 2001, 235-246.
14. Jansen, B., Spink, A., Bateman, J., and Saracevic, T.: Searchers, The Subjects They Search, and Sufficiency: A Study of a Large Sample of Excite Searchers. 1998 World Conference on the WWW and Internet (Orlando, USA), 1998.
15. Jones, S. and Paynter, G.: Automatic Extraction of Document Keyphrases for Use in Digital Libraries: Evaluation and Applications. Journal of the American Society for Information Science and Technology (JASIST), Vol. 53, Issue 8, Wiley Periodicals 2002, 653-677.
16. Jones, S., Jones, M., and Deo, S.: Using Keyphrases as Search Result Surrogates on Small Screen Devices. Personal and Ubiquitous Computing. Vol. 8, Issue 1, Springer-Verlag 2004, 55-68.
17. Käki, M. and Aula, A.: Findex: Improving Search Result Use through Automatic Filtering Categories. To appear in Interacting with Computers, Elsevier.
18. Pirolli, P., Schank, P., Hearst, M., and Diehl, C.: Scatter/Gather Browsing Communicates the Topic Structure of a Very Large Text Collection. Proceedings of CHI'96 (Vancouver, Canada), ACM Press 1996, 213-220.
19. Pratt, W. and Fagan, L.: The Usefulness of Dynamically Categorizing Search Results. Journal of the American Medical Informatics Association. Vol. 7, No. 6, 2000, 605-617.
20. Rose, D. and Levinson, D.: Understanding User Goals in Web Search. Proceedings of the WWW 2004 Conference (New York, USA), ACM Press 2004, 13-19.
21. Spink, A., Jansen, B., Wolfram, D., and Saracevic, T.: From E-Sex to E-Commerce: Web Search Changes. IEEE Computer, Vol. 35, No. 3, 2002, 107-109.
22. Teevan, J., Alvarado, C., Ackerman, M., and Karger, D.: The Perfect Search Engine Is Not Enougth: A Study of Orienteering Behavior in Directed Search. Proceedings of CHI 2004 (Vienna, Austria), ACM Press 2004, 415-422.
23. Wu, Y., Shankar, L., and Chen, X.: Finding More Useful Information Faster from Web Search Results. Proceedings of the ACM CIKM'03 (New Orleans, USA), ACM Press 2003, 568-571.
24. th International World Wide Web Conference WWW8 (Toronto, Canada), Elsevier Science 1999.
25. Zamir, O. and Etzioni, O.: Web Document Clustering: A Feasibility Demonstration. Proceedings of ACM SIGIR'98 (Melbourne, Australia), ACM Press, 1998, 46-54.
26. Zeng, H-J., He, Q-C., Chen, Z., Ma, W-Y., and Ma, J.: Learning to Cluster Web Search Results. Proceedings of ACM SIGIR'04 (Sheffield, UK), ACM Press, 2004, 210-217.
27. http://snowball.tartarus.org
28. http://www.altavista.com
29. http://www.google.com/apis
30. http://www.iboogie.com
31. http://www.teoma.com
32. http://www.vivisimo.com
33. http://www.wisenut.com