Evaluating WordBars in exploratory Web search scenarios

Information Processing and Management

Volumn 44, Issue 2, 2008, Pages 485-510

  Hoeber, Orland ^a   Yang, Xue Dong ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

Interaction; Query refinement; Search results exploration; User evaluations; Visualization; Web search

Indexed keywords

FEATURE EXTRACTION; INFORMATION RETRIEVAL; QUERY PROCESSING; SEARCH ENGINES;

HISTOGRAM; WEB SEARCHES;

WEBSITES;

EID: 39649099567     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2007.07.003     Document Type: Article

References (44)

1. Beaulieu M. Experiments on interfaces to support query expansion. Journal of Documentation 53 1 (1997) 8-19
2. Borlund P. The IIR evaluation model: A framework for evaluation of interactive information retrieval systems. Information Research 8 3 (2003)
3. Borlund, P., & Ingwersen, P. (1998). Measures of relative relevance and ranked half-life: Performance indicators for interactive IR. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
4. Brewer, C. A. (2005). Colorbrewer. http://www.colorbrewer.org/.
5. Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. In Proceedings of the seventh international World Wide Web conference.
6. Chang C.-H., and Hsu C.-C. Enabling concept-based relevance feedback for information retrieval on the WWW. IEEE Transactions on Knowledge and Data Engineering 11 4 (1999) 595-609
7. Efthimiadis E.N. Query expansion. Annual Review of Information Systems and Technology (ARIST) 31 (1996) 121-187
8. Fuhr N. Models in information retrieval. Lectures on information retrieval (2001), Springer-Verlag 21-50
9. Google (2005). Google Web API. http://www.google.com/apis/.
10. Harman, D. (1988). Towards interactive query expansion. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
11. Harman D. Relevance feedback and other query modification techniques. In: Frakes W.B., and Baeza-Yates R. (Eds). Information retrieval: Data structures and algorithms (1992), Prentice-Hall 241-263
12. Henzinger M.R., Motwani R., and Silverstein C. Challenges in Web search engines. SIGIR Forum 36 2 (2002) 11-22
13. Hoeber, O., & Yang, X. D. (2006a). A comparative user study of Web search interfaces: HotMap, Concept Highlighter, and Google. In Proceedings of the IEEE/WIC/ACM international conference on Web intelligence.
14. Hoeber, O., & Yang, X. D. (2006b). The visual exploration of web search results using HotMap. In Proceedings of the international conference on information visualization.
15. Hoeber, O., & Yang, X. D. (2006c). Visually exploring concept-based fuzzy clusters in Web search results. In Proceedings of the Atlantic Web intelligence conference.
16. Ingwersen P. A cognitive view of three selected online search facilities. Online Review 8 5 (1984) 465-492
17. Ingwersen, P., & Wormell, I. (1986). Improved subject access, browsing and scanning mechanisms in modern online IR. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
18. Jansen B.J., and Pooch U. A review of Web searching studies and a framework for future research. Journal of the American Society for Information Science and Technology 52 3 (2001) 235-246
19. Järvelin, K., & Kekäläinen, J. (2000). IR evaluation methods for retrieving highly relevant documents. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
20. Joho, H., Coverson, C., Sanderson, M., & Beaulieu, M. (2002). Hierarchical presentation of expansion terms. In Proceedings of the ACM symposium on applied computing.
21. Kobayashi M., and Takeda K. Information retrieval on the Web. ACM Computing Surveys 32 2 (2000) 114-173
22. Magennis, M., & van Rijsbergen, C. J. (1997). The potential and actual effectiveness of interactive query expansion. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
23. Martin, W. A. (1982). Helping the less experienced user. In Proceedings of the 6th international online information meeting.
24. Nielsen, J. (1994). Enhancing the explanatory power of usability heuristics. In Proceedings of the ACM conference on human factors in computing systems.
25. Nowicki S. Student vs. search engine: Undergraduates rank results for relevance. Libraries and the Academy 3 3 (2003) 503-515
26. Pitkow J., Schutze H., Cass T., Coley R., Turnbull D., Edmonds A., et al. Personalized search. Communications of the ACM 45 9 (2002) 50-55
27. Porter M. An algorithm for suffix stripping. Program 14 3 (1980) 130-137
28. Qiu, Y., & Frei, H. P. (1993). Concept based query expansion. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
29. Radlinski, F., & Dumais, S. (2006). Improving personalized Web search using result diversification. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
30. Rocchio, J. J. (1971). Relevance feedback in information retrieval. In The SMART system - Experiments in automatic document processing. Prentice Hall.
31. Rosson M.B., and Carroll J.M. Usability Engineering: Scenario-based development of human-computer interaction (2002), Morgan Kaufman
32. Ruthven, I. (2003). Re-examining the potential effectiveness of interactive query expansion. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
33. Salton G., and Buckley C. Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science 41 4 (1990) 288-297
34. Shneiderman B. Designing the user interface (1998), Addison-Wesley
35. 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
36. Spink A., Wolfram D., Jansen B.J., and Saracevic T. Searching the Web: The public and their queries. Journal of the American Society for Information Science and Technology 52 3 (2001) 226-234
37. Sugiyama, K., Hatano, K., & Yoshikawa, M. (2004). Adaptive Web search based on user profile construction without any effort from users. In Proceedings of the 2004 World Wide Web conference.
38. Teevan, J., Dumais, S., & Horvitz, E. (2005). Personalizing search via automated analysis of interests and activities. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
39. Voorhees, E. M. (1994). Query expansion using lexical-semantic relations. In Proceedings of the ACM SIGIR conference on research and development in information retrieval.
40. Ware C. Information visualization: Perception for design (2004), Morgan Kaufman
41. White, R. W., Muresan, G., & Marchionini, G. (2006). Evaluating exploratory search systems. In Proceedings of the ACM SIGIR workshop on evaluating exploratory search systems.
42. White R.W., Ruthven I., Jose J.M., and van Rijsbergen C.J. Evaluating implicit feedback models using searcher simulations. ACM Transactions on Information Systems 23 3 (2006) 325-361
43. Xu J., and Croft W.B. Improving the effectiveness of information retrieval with local context analysis. ACM Transactions on Information Systems 18 1 (2000) 79-112
44. Yahoo (2006). Yahoo search Web services. http://developer.yahoo.com/search.