Subjective relevance: implications on digital libraries for experts and novices

Shu Shing Lee; Yin Leng Theng; Dion Hoe Lian Goh; Schubert Shou Boon Foo

doi:10.1007/978-3-540-30544-6_22

Subjective relevance: implications on digital libraries for experts and novices

Shu Shing Lee, Yin Leng Theng, Dion Hoe Lian Goh, Schubert Shou Boon Foo

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Digital Libraries
Subtitle of host publication	International Collaboration and Cross-Fertilization - 7th International Conference on Asian Digital Libraries, ICADL 2004
Editors	Qihao Miao, Ee-peng Lim, Zhaoneng Chen, Yuxi Fu, Hsinchun Chen, Edward Fox
Publisher	Springer Verlag
Pages	453-457
Number of pages	5
ISBN (Print)	9783540240303
DOIs	https://doi.org/10.1007/978-3-540-30544-6_22
Publication status	Published - 2005
Externally published	Yes
Event	7th International Conference on Asian Digital Libraries, ICADL 2004 - Shanghai, China Duration: Dec 13 2004 → Dec 17 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3334 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Asian Digital Libraries, ICADL 2004
Country/Territory	China
City	Shanghai
Period	12/13/04 → 12/17/04

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-30544-6_22

Cite this

Lee, S. S., Theng, Y. L., Goh, D. H. L., & Foo, S. S. B. (2005). Subjective relevance: implications on digital libraries for experts and novices. In Q. Miao, E. Lim, Z. Chen, Y. Fu, H. Chen, & E. Fox (Eds.), Digital Libraries: International Collaboration and Cross-Fertilization - 7th International Conference on Asian Digital Libraries, ICADL 2004 (pp. 453-457). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3334 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-30544-6_22

Lee, Shu Shing ; Theng, Yin Leng ; Goh, Dion Hoe Lian et al. / Subjective relevance : implications on digital libraries for experts and novices. Digital Libraries: International Collaboration and Cross-Fertilization - 7th International Conference on Asian Digital Libraries, ICADL 2004. editor / Qihao Miao ; Ee-peng Lim ; Zhaoneng Chen ; Yuxi Fu ; Hsinchun Chen ; Edward Fox. Springer Verlag, 2005. pp. 453-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Subjective relevance: implications on digital libraries for experts and novices",

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{\textquoteright} and novices{\textquoteright} 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.",

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year = "2005",

doi = "10.1007/978-3-540-30544-6_22",

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Lee, SS, Theng, YL , Goh, DHL & Foo, SSB 2005, Subjective relevance: implications on digital libraries for experts and novices. in Q Miao, E Lim, Z Chen, Y Fu, H Chen & E Fox (eds), Digital Libraries: International Collaboration and Cross-Fertilization - 7th International Conference on Asian Digital Libraries, ICADL 2004. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3334 LNCS, Springer Verlag, pp. 453-457, 7th International Conference on Asian Digital Libraries, ICADL 2004, Shanghai, China, 12/13/04. https://doi.org/10.1007/978-3-540-30544-6_22

Subjective relevance: implications on digital libraries for experts and novices. / Lee, Shu Shing; Theng, Yin Leng ; Goh, Dion Hoe Lian et al.
Digital Libraries: International Collaboration and Cross-Fertilization - 7th International Conference on Asian Digital Libraries, ICADL 2004. ed. / Qihao Miao; Ee-peng Lim; Zhaoneng Chen; Yuxi Fu; Hsinchun Chen; Edward Fox. Springer Verlag, 2005. p. 453-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3334 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Subjective relevance

T2 - 7th International Conference on Asian Digital Libraries, ICADL 2004

AU - Lee, Shu Shing

AU - Theng, Yin Leng

AU - Goh, Dion Hoe Lian

AU - Foo, Schubert Shou Boon

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2004.

PY - 2005

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N2 - 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.

AB - 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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 453

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BT - Digital Libraries

A2 - Miao, Qihao

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A2 - Fox, Edward

PB - Springer Verlag

Y2 - 13 December 2004 through 17 December 2004

ER -

Lee SS, Theng YL , Goh DHL, Foo SSB. Subjective relevance: implications on digital libraries for experts and novices. In Miao Q, Lim E, Chen Z, Fu Y, Chen H, Fox E, editors, Digital Libraries: International Collaboration and Cross-Fertilization - 7th International Conference on Asian Digital Libraries, ICADL 2004. Springer Verlag. 2005. p. 453-457. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30544-6_22

Subjective relevance: implications on digital libraries for experts and novices

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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