Using Complexity Measures in Information Retrieval

Frans van der Sluis; Egon van den Broek

doi:10.1145/1840784.1840843

Using Complexity Measures in Information Retrieval

Frans van der Sluis
, Egon van den Broek

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

8 Citations (Scopus)

123 Downloads (Pure)

Abstract

Although Information Retrieval (IR) is meant to serve its users, surprisingly little IR research is not user-centered. In contrast, this article utilizes the concept complexity of information as the determinant of the user's comprehension, not as a formal golden measure. Four aspects of user's comprehension are applied on a database of simple and normal Wikipedia articles and found to distinguish between them. The results underline the feasibility of the principle of parsimony for IR: where two topical articles are available, the simpler one is preferred.

Original language	Undefined
Title of host publication	Proceedings of the Third Symposium on Information Interaction in Context, IIiX '10
Editors	N.J. Belkin, D. Kelly
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	383-388
Number of pages	6
ISBN (Print)	978-1-4503-0247-0
DOIs	https://doi.org/10.1145/1840784.1840843
Publication status	Published - 18 Aug 2010
Event	3rd Symposium on Information Interaction in Context, IIiX 2010 - New Brunswick, United States Duration: 18 Aug 2010 → 21 Aug 2010 Conference number: 3

Publication series

Name
Publisher	ACM

Other

Other	3rd Symposium on Information Interaction in Context, IIiX 2010
Abbreviated title	IIiX 2010
Country/Territory	United States
City	New Brunswick
Period	18/08/10 → 21/08/10

Keywords

IR-75069
METIS-275719
Comprehension
Complexity Measures
Parsimony
Relevance
CR-H.1.2
HMI-SLT: Speech and Language Technology
HMI-IE: Information Engineering
HMI-HF: Human Factors
CR-H.3.1
CR-H.3.3
CR-H.1.1
EWI-18891

Access to Document

10.1145/1840784.1840843

ixp061s-vandersluis

Cite this

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title = "Using Complexity Measures in Information Retrieval",

abstract = "Although Information Retrieval (IR) is meant to serve its users, surprisingly little IR research is not user-centered. In contrast, this article utilizes the concept complexity of information as the determinant of the user's comprehension, not as a formal golden measure. Four aspects of user's comprehension are applied on a database of simple and normal Wikipedia articles and found to distinguish between them. The results underline the feasibility of the principle of parsimony for IR: where two topical articles are available, the simpler one is preferred.",

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author = "\{van der Sluis\}, Frans and \{van den Broek\}, Egon",

note = "10.1145/1840784.1840843 ; 3rd Symposium on Information Interaction in Context, IIiX 2010 ; Conference date: 18-08-2010 Through 21-08-2010",

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doi = "10.1145/1840784.1840843",

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isbn = "978-1-4503-0247-0",

publisher = "Association for Computing Machinery",

pages = "383--388",

editor = "N.J. Belkin and D. Kelly",

booktitle = "Proceedings of the Third Symposium on Information Interaction in Context, IIiX '10",

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van der Sluis, F & van den Broek, E 2010, Using Complexity Measures in Information Retrieval. in NJ Belkin & D Kelly (eds), Proceedings of the Third Symposium on Information Interaction in Context, IIiX '10. Association for Computing Machinery, New York, pp. 383-388, 3rd Symposium on Information Interaction in Context, IIiX 2010, New Brunswick, New Jersey, United States, 18/08/10. https://doi.org/10.1145/1840784.1840843

Using Complexity Measures in Information Retrieval. / van der Sluis, Frans; van den Broek, Egon.
Proceedings of the Third Symposium on Information Interaction in Context, IIiX '10. ed. / N.J. Belkin; D. Kelly. New York: Association for Computing Machinery, 2010. p. 383-388.

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

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N2 - Although Information Retrieval (IR) is meant to serve its users, surprisingly little IR research is not user-centered. In contrast, this article utilizes the concept complexity of information as the determinant of the user's comprehension, not as a formal golden measure. Four aspects of user's comprehension are applied on a database of simple and normal Wikipedia articles and found to distinguish between them. The results underline the feasibility of the principle of parsimony for IR: where two topical articles are available, the simpler one is preferred.

AB - Although Information Retrieval (IR) is meant to serve its users, surprisingly little IR research is not user-centered. In contrast, this article utilizes the concept complexity of information as the determinant of the user's comprehension, not as a formal golden measure. Four aspects of user's comprehension are applied on a database of simple and normal Wikipedia articles and found to distinguish between them. The results underline the feasibility of the principle of parsimony for IR: where two topical articles are available, the simpler one is preferred.

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