Pie charts for visualizing query term frequency in search results

Terry Anderson; Ali Hussam; Bill Plummer; Nathan Jacobs

doi:10.1007/3-540-36227-4_52

Pie charts for visualizing query term frequency in search results

Terry Anderson, Ali Hussam, Bill Plummer, Nathan Jacobs

Computer Science

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

9 Scopus citations

Abstract

Search engine queries are normally brief but often return unmanageably long results, with which users struggle to determine document quality and relevance. In recent years, many studies have enhanced search results with metadata displayed as visual cues. Their success in helping users make faster and more accurate document judgments has been uneven, reflecting the wide range of information needs and document selection strategies of users, and also the relative effectiveness of different visualization forms. We identify the frequency with which query terms are found in a document as a straightforward and effective way for users to see the relationship between their query and the search results. In our prototype, we display these frequencies using simple pie charts. Despite performance limitations, evaluation with 101 users has been promising and suggests future developments.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Ee-Peng Lim, Schubert Foo, Chris Khoo, Hsinchun Chen, Edward Fox, Shalini Urs, Thanos Costantino
Pages	440-451
Number of pages	12
DOIs	https://doi.org/10.1007/3-540-36227-4_52
State	Published - 2002
Event	5th International Conference on Asian Digital Libraries, ICADL 2002 - Singapore, Singapore Duration: Dec 11 2002 → Dec 14 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2555
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Asian Digital Libraries, ICADL 2002
Country/Territory	Singapore
City	Singapore
Period	12/11/02 → 12/14/02

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-36227-4_52

Cite this

Anderson, T., Hussam, A., Plummer, B., & Jacobs, N. (2002). Pie charts for visualizing query term frequency in search results. In E.-P. Lim, S. Foo, C. Khoo, H. Chen, E. Fox, S. Urs, & T. Costantino (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 440-451). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2555). https://doi.org/10.1007/3-540-36227-4_52

Anderson, Terry ; Hussam, Ali ; Plummer, Bill et al. / Pie charts for visualizing query term frequency in search results. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Ee-Peng Lim ; Schubert Foo ; Chris Khoo ; Hsinchun Chen ; Edward Fox ; Shalini Urs ; Thanos Costantino. 2002. pp. 440-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{96e8e274c3b04c1e98ad2ed1ae7c276b,

title = "Pie charts for visualizing query term frequency in search results",

abstract = "Search engine queries are normally brief but often return unmanageably long results, with which users struggle to determine document quality and relevance. In recent years, many studies have enhanced search results with metadata displayed as visual cues. Their success in helping users make faster and more accurate document judgments has been uneven, reflecting the wide range of information needs and document selection strategies of users, and also the relative effectiveness of different visualization forms. We identify the frequency with which query terms are found in a document as a straightforward and effective way for users to see the relationship between their query and the search results. In our prototype, we display these frequencies using simple pie charts. Despite performance limitations, evaluation with 101 users has been promising and suggests future developments.",

author = "Terry Anderson and Ali Hussam and Bill Plummer and Nathan Jacobs",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 5th International Conference on Asian Digital Libraries, ICADL 2002 ; Conference date: 11-12-2002 Through 14-12-2002",

year = "2002",

doi = "10.1007/3-540-36227-4_52",

language = "English",

isbn = "3540002618",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "440--451",

editor = "Ee-Peng Lim and Schubert Foo and Chris Khoo and Hsinchun Chen and Edward Fox and Shalini Urs and Thanos Costantino",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

Anderson, T, Hussam, A, Plummer, B & Jacobs, N 2002, Pie charts for visualizing query term frequency in search results. in E-P Lim, S Foo, C Khoo, H Chen, E Fox, S Urs & T Costantino (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2555, pp. 440-451, 5th International Conference on Asian Digital Libraries, ICADL 2002, Singapore, Singapore, 12/11/02. https://doi.org/10.1007/3-540-36227-4_52

Pie charts for visualizing query term frequency in search results. / Anderson, Terry; Hussam, Ali; Plummer, Bill et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Ee-Peng Lim; Schubert Foo; Chris Khoo; Hsinchun Chen; Edward Fox; Shalini Urs; Thanos Costantino. 2002. p. 440-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2555).

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

TY - GEN

T1 - Pie charts for visualizing query term frequency in search results

AU - Anderson, Terry

AU - Hussam, Ali

AU - Plummer, Bill

AU - Jacobs, Nathan

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2002.

PY - 2002

Y1 - 2002

N2 - Search engine queries are normally brief but often return unmanageably long results, with which users struggle to determine document quality and relevance. In recent years, many studies have enhanced search results with metadata displayed as visual cues. Their success in helping users make faster and more accurate document judgments has been uneven, reflecting the wide range of information needs and document selection strategies of users, and also the relative effectiveness of different visualization forms. We identify the frequency with which query terms are found in a document as a straightforward and effective way for users to see the relationship between their query and the search results. In our prototype, we display these frequencies using simple pie charts. Despite performance limitations, evaluation with 101 users has been promising and suggests future developments.

AB - Search engine queries are normally brief but often return unmanageably long results, with which users struggle to determine document quality and relevance. In recent years, many studies have enhanced search results with metadata displayed as visual cues. Their success in helping users make faster and more accurate document judgments has been uneven, reflecting the wide range of information needs and document selection strategies of users, and also the relative effectiveness of different visualization forms. We identify the frequency with which query terms are found in a document as a straightforward and effective way for users to see the relationship between their query and the search results. In our prototype, we display these frequencies using simple pie charts. Despite performance limitations, evaluation with 101 users has been promising and suggests future developments.

UR - http://www.scopus.com/inward/record.url?scp=84949238320&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949238320&partnerID=8YFLogxK

U2 - 10.1007/3-540-36227-4_52

DO - 10.1007/3-540-36227-4_52

M3 - Conference contribution

AN - SCOPUS:84949238320

SN - 3540002618

SN - 9783540002611

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

SP - 440

EP - 451

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

A2 - Lim, Ee-Peng

A2 - Foo, Schubert

A2 - Khoo, Chris

A2 - Chen, Hsinchun

A2 - Fox, Edward

A2 - Urs, Shalini

A2 - Costantino, Thanos

T2 - 5th International Conference on Asian Digital Libraries, ICADL 2002

Y2 - 11 December 2002 through 14 December 2002

ER -

Anderson T, Hussam A, Plummer B, Jacobs N. Pie charts for visualizing query term frequency in search results. In Lim EP, Foo S, Khoo C, Chen H, Fox E, Urs S, Costantino T, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2002. p. 440-451. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-36227-4_52

Pie charts for visualizing query term frequency in search results

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this