Abstract
Traditional information retrieval (IR) systems are developed based on the “best match” principle which assumes that users can specify their needs in a query and documents retrieved are relevant to users. However, this objective measure of relevance is limited as it does not consider differences in experts’ and novices’ knowledge and context. This paper presents initial work towards addressing this limitation by investigating subjective relevance (that can include topical, pertinence, situational, and motivational relevance) features that can be incorporated into digital library interfaces to help experts and novices search and judge relevance more effectively. A pilot study was conducted to elicit initial subjective relevance features from experts and novices. The paper concludes with a discussion of elicited design features and their implications for user-centered digital libraries.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Belkin, N.J., Oddy, R.N., Brooks, H.: ASK for information retrieval: Part I. background and theory. The Journal of Documentation 38(2), 61–71 (1982)
Chen, H., Houston, A.L., Sewell, R.R., Schatz, B.R.: Internet browsing and searching: Use evaluations of category map and concept space techniques. Journal of the American Society for Information Science 49(7), 582–603 (1998)
Ingwersen, P., Borlund, P.: Information transfer viewed as interactive cognitive processes. In: Ingwersen, P., Pors, N.O. (eds.) Information Science: Integration in Perspective, pp. 219–232. Royal School of Librarianship, Copenhagen (1996)
Janes, J.: Other people’s judgments: A comparison of users’ and others’ judgments of document relevance, topicality, and utility. Journal of the American Society for Information Science 45(3), 160–171 (1994)
Nielsen, J.: Heuristic evaluation. In: Nielsen, J., Mack, R.L. (eds.) Usability Inspection Methods, John Wiley & Sons, New York (1994)
Osborn, A.: Applied imagination: Principlse and procedures of creative problem-solving. Creative Education Foundation (1993)
Saracevic, T.: Relevance reconsidered 1996. In: Ingwersen, P., Pors, N.O. (eds.) Information Science: Integration in Perspective, pp. 201–218. Royal School of Librarianship, Copenhagen (1996)
Tang, R., Soloman, P.: Toward an understanding of the dynamics of relevance judgment: An analysis of one person’s search behavior. Information Process and Management 34, 237–256 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, SS., Theng, YL., Goh, D.HL., Foo, S.SB. (2004). Subjective Relevance: Implications on Digital Libraries for Experts and Novices. In: Chen, Z., Chen, H., Miao, Q., Fu, Y., Fox, E., Lim, Ep. (eds) Digital Libraries: International Collaboration and Cross-Fertilization. ICADL 2004. Lecture Notes in Computer Science, vol 3334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30544-6_50
Download citation
DOI: https://doi.org/10.1007/978-3-540-30544-6_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24030-3
Online ISBN: 978-3-540-30544-6
eBook Packages: Computer ScienceComputer Science (R0)