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Title: Subjective relevance : implications on digital libraries for experts and novices
Authors: Foo, Schubert
Theng, Yin-Leng
Lee, Shu Shing
Goh, Dion Hoe-Lian
Keywords: DRNTU::Library and information science::Libraries::Digital libraries and information portals
Issue Date: 2004
Source: Lee, S. S., Theng, Y.-L., Goh, D., & Foo, S. (2004). Subjective relevance : implications on digital libraries for experts and novices. Proceedings of the 7th International Conference on Asian Digital Libraries ICADL 2004, (December 13-17, Shanghai, China), Lecture Notes in Computer Science 3334, 453-457.
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.
DOI: 10.1007/b104284
Rights: The original publication is available at
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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