Exploring users' video relevance criteria - A pilot study

Proceedings of the ASIST Annual Meeting

Volumn 41, Issue , 2004, Pages 229-238

  Yang, Meng ^a   Marchionini, Gary ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33750712019     PISSN: 15508390     EISSN: None     Source Type: Journal    
DOI: 10.1002/meet.1450410127     Document Type: Conference Paper

References (25)

1. Barry C. (1994) User-defined relevance criteria: An exploratory study, Journal Of The American Society For Information Science, 45 (3). pp. 149-159
2. Choi, Y. & Rasmussen, E. M. (2002). Users' relevance criteria in image retrieval in American history, Information Processing & Management, 38(5), pp. 695-726.
3. Dervin, B. (1992). From the mind's eye of the user: The Sense-Making qualitative-quantitative methodology. In J. D. Glazier & R. R. Powell (Eds.), Qualitative research in information management (pp. 61-84). Englewood, CO: Libraries Unlimited.
4. Froelich, T. J. (1994) Relevance reconsidered - towards an agenda for the 21st century: introduction to special topic issue on relevance research. Journal of the American Society for Information Science, 45(3), pp. 124-134
5. Harter, S. P. (1992), Psychological relevance and information science. Journal of the American Society for Information Science, 43(9), pp. 602-615
6. Markkula, M. and Sormumen, E. (1998), "Searching for photos: journalists' practices in pictorial IR", The Challenge of Image Retrieval Research Workshop, Newcastle upon Tyne
7. Park, T. K. (1992). The nature of relevance in information retrieval: An empirical study. Unpublished doctoral dissertation, School of Library and Information Science, Indiana University, Bloomington, IN
8. Park, T. K. (1993). The nature of relevance in information retrieval: An empirical study. Library Quarterly, 63(3), pp. 318-351
9. Park, T. K. (1994). Toward a theory of user-based relevance: A call for a new paradigm of inquiry. Journal of the American Society for Information Science, 45, pp. 135-141
10. Payette, S. D., & Rieger, O. Y. (1998). Supporting scholarly inquiry: Incorporating users in the design of the digital library. Journal of Academic Librarianship. 24(2), pp. 121-129
11. Saracevic, T. (1975). Relevance: A review of and a framework for thinking on the notion in information science. Journal of the American society for Information Science. 26, pp. 321-343
12. Schamber, L. (1991a). Users' criteria for evaluation in a multimedia information environment. Proceedings of the American Society for Information Science (AISI) 54th Annual Meething, Voume 28, pp. 126-133.
13. Schamber, L. (1991b). Users' criteria for evaluation in a multimedia information seeking and use situation. Unpublished doctoral dissertation, Syracuse University, Syracuse, NY.
14. Schamber, L. (1994). Relevance and information behavior. Annual Review of Information Science and Technology, 29, pp. 3-18.
15. Schamber, L. (2000). Time-line interviews and inductive content analysis: Their effectiveness for exploring cognitive behaviors. Journal of the American Society for Information Science 51(8), pp. 734-744
16. Schutz, A. (1970), Reflections on the Problem of Relevance. New Haven, Yale University Press
17. Shatford, L. S. (1994). Some issues in the indexing of images. Journal of the American Society for Information Science, 45, pp. 583-588.
18. Swanson, D. R. (1986). Subjective vs. objective relevance in bibliographic retrieval systems. Library Quarterly, 56, pp. 389-398.
19. Tang, R. & Solomon, P. (1998). Toward an Understanding of the Dynamics of Relevance Judgment: An Analysis of One Person's Search Behavior, Information Processing & Management, 34, pp. 237-256.
20. Vickery, B.C. (1959a). The structure of information retrieval systems, Proceedings of the International Conference on Scientific Information, Vol. 2, National Academy of Sciences, Washington, DC, pp. 1275-1290.
21. Vickery, B.C. (1959b). Subject analysis for information retrieval, Proceedings of the International Conference on Scientific Information, Vol. 2, National Academy of Sciences, Washington, DC, pp. 855-865.
22. Wang, P. (1994) A cognitive model of document selection of real users of information retrieval systems (Doctoral dissertation), University of Maryland, College of Library and Information Science, College Park, MD.
23. Wang, P. & Soergel, D. (1998). A cognitive model of document use during a research project. Study I: Document selection, Journal of the American Society for Information Science, 49(2), pp. 115-133.
24. Wang, P. (1999). Methodologies and methods for user behavioral research. Annual Review of Information Science and Technology, 34, pp. 53-99.
25. Wilson, P. (1973). Situational relevance, Information Storage and Retrieval, 9, pp. 457-471.