HotMap: Supporting visual exploration of web search results

Journal of the American Society for Information Science and Technology

Volumn 60, Issue 1, 2009, Pages 90-110

  Hoeber, Orland ^a   Yang, Xue Dong ^b  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

^b UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; INFORMATION SERVICES; SEARCH ENGINES; WEBSITES;

INFORMATION RETRIEVAL (IR) TECHNIQUES; SEARCH RESULTS; SEARCH SYSTEMS; USER STUDIES; VISUAL REPRESENTATIONS; WEB SEARCHES;

WORLD WIDE WEB;

EID: 58449128581     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.20957     Document Type: Article

References (34)

1. Andrews, K.. Gutl, C, Moser, J., & Sabol, V. (2001). Search result visualization with xFind. In E. Kapetanios & H. Hinterberger (Eds.), Proceedings of the 2nd International Workshop on User Interfaces to Data Intensive Systems (pp. 50-58). Washington, DC: IEEE Computer Society.
2. Baldonado, M.Q.W., Woodruff, A., & Kuchmsky, A. (2000). Guidelines for using multiple views in information visualization. In V. Di Gesu, S. Levialdi, L. Tarantino (Eds.), Proceedings of the Working Conference on Advanced Visual Interfaces (pp. 110-119). New York: Association for Computing Machinery.
3. Berend, E., Carpineto, C, Giannini, V., & Mizzaro, S. (2000). Effectiveness of keyword-based display and selection of retrieval results for interactive searches. International Journal on Digital Libraries, 3(3), 249-260.
4. Borlund, P. (2003). The IIR evaluation model: A framework for evaluation of interactive information retrieval systems. Information Research, 8 (3).
5. Brewer, C.A. (2005). ColorBrewer. Retrieved August 28, 2008, from http://www.colorbrewer.org/.
6. Brin, S.. & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. In Proceedings of the 7th International World Wide Web Conference (pp. 107-117). New York: Association for Computing Machinery.
7. Eick, S. (1994). Graphically displaying text. Journal of Computational Graphics and Statistics, 3(2), 127-142.
8. Ghemawat, S., Gobioff, H., & Leung, S.-T. (2003). The Google file system. Proceedings of the ACM Symposium on Operating System Principles (pp. 29-43). New York: Association for Computing Machinery.
9. Google. (2005). Google Web API. Retrieved August 28, 2008, from http://code.google.com/
10. Hearst, M. (1995). TileBars: Visualization of term distribution information in full text information access. In I. Katz, R. Mack, L. Marks, M.B. Rosson, & J. Nielsen (Eds.), Proceedings of the ACM Conference on Human Factors in Computing Systems (pp. 59-66). New York: Association for Computing Machinery.
11. Hearst, M. (1999). User interfaces and visualization. In R. Baeza-Yates & B. Ribeiro-Neto (Eds.), Modern information retrieval. Boston, MA: Addison-Wesley.
12. Hearst, M., & Pedersen, J. (1996). Reexamining the cluster hypothesis: Scatter/gather on retrieval results. Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 76-84). New York: Association for Computing Machinery.
13. Heimonen, T, & Jhaveri, N. (2005). Visualizing query occurrence in search result lists. Proceedings of the International Conference on Information Visualization (pp. 877-882). Washington, DC: IEEE Computer Society.
14. Hoeber, O., & Yang, X.D. (2006a). A comparative user study of Web search interfaces: HotMap, Concept Highlighter, and Google. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (pp. 866-874). Washington, DC: IEEE Computer Society.
15. Hoeber, O., & Yang, X.D. (2006b). A model for interactive Web information retrieval. In A. Butz, B. Fisher, A. Kruger, & P. Oliver (Eds.), Proceedings of the International Symposium on Smart Graphics, Lecture Notes in Computer Science (Vol. 4073, pp. 242-247). Berlin, Germany: Springer-Verlag.
16. Hoeber, O., & Yang, X.D. (2006c). The visual exploration of Web search results using HotMap. Proceedings of the International Conference on Information Visualization (pp. 157-165). Washington, DC: IEEE Computer Society.
17. Kobayashi, M., & Takeda, K. (2000). Information retrieval on the Web. ACM Computing Surveys, 32(2), 114-173.
18. Modjeska, D.K. (2000). Hierarchical data visualization in desktop virtual reality. Unpublished doctoral dissertation, University of Toronto.
19. Nielsen//Netratings. (2006). Nielsen//Netratings announces November U.S. search share rankings. Retrieved August 28, 2008, from http://www.netratings. com/pr/pr 061219.pdf.
20. Nowell, L. France, R. Hix, D., Heath, L., & Fox, E. (1996). Visualizing search results: Some alternatives to query-document similarity. Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 67-75). New York: Association for Computing Machinery.
21. Porter, M. (1980). An algorithm for suffix stripping. Program, 14(3), 130-137.
22. Powers, D., & Pfitzner, D. (2003). The magic science of visualization. Proceedings of the International Conference on Cognitive Science. Sydney, Australia: University of New South Wales.
23. Rennison, E. (1994). Galaxy of news: An approach to visualizing and understanding expansive news landscapes. Proceedings of the 7th Annual ACM Symposium on User Interface Software and Technology (pp. 3-12). New York: Association for Computing Machinery.
24. 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.
25. Spink, A. (2002). A user-centered approach to evaluating human interaction with Web search engines: An exploratory study. Information Processing and Management, 38(3), 401-426.
26. Spink. A., Wolfram, D., Jansen, B.J., & Saracevic, T. (2001). Searching the Web: The public and their queries. Journal of the American Society for Information Science and Technology, 52(3), 226-234.
27. Tufte, E. (1990). Envisioning information. Cheshire, CT: Graphics Press.
28. Vaughan, L. (2004). New measures for search engine evaluation proposed and tested. Information Processing and Management, 40(4), 677-691.
29. Voorhees, E.M. (2004). Overview of TREC 2004. Proceedings of the Thirteenth Text Retrieval Conference (pp. 1-12). Gaithersburg, MD: National Institute of Standards and Technology.
30. Ware, C. (2004). Information visualization: Perception for design. San Francisco, CA: Morgan Kaufmann.
31. Wise, J. A., Thomas, J.J., Pennock, K., Lantrip, D., Pottier, M., Schur, A., et al. (1995). Visualizing the non-visual: Spatial analysis and interaction with information from text documents. Proceedings of IEEE Information Visualization (pp. 51-58). Washington, DC: IEEE Computer Society.
32. Yao, Y. (2002). Information retrieval support systems. Proceedings of the 2002 IEEE International Conference on Fuzzy Systems (pp. 1092-1097). Washington, DC: IEEE Computer Society.
33. Zamir, O., & Etzioni, O. (1998). Web document clustering: A feasibility demonstration. Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 46-54). New York: Association for Computing Machinery.
34. Zamir, O., & Etzioni, O. (1999). Grouper: A dynamic clustering interface to Web search results. Proceedings of the Eighth International World Wide Web Conference (pp. 1361-1374). Washington, DC: IEEE Computer Society.