Using Complexity Measures in Information Retrieval

Frans van der Sluis, Egon van den Broek

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
30 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 languageUndefined
Title of host publicationProceedings of the Third Symposium on Information Interaction in Context, IIiX '10
EditorsN.J. Belkin, D. Kelly
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages383-388
Number of pages6
ISBN (Print)978-1-4503-0247-0
DOIs
Publication statusPublished - 18 Aug 2010

Publication series

Name
PublisherACM

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

Cite this

van der Sluis, F., & van den Broek, E. (2010). Using Complexity Measures in Information Retrieval. In N. J. Belkin, & D. Kelly (Eds.), Proceedings of the Third Symposium on Information Interaction in Context, IIiX '10 (pp. 383-388). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/1840784.1840843
van der Sluis, Frans ; van den Broek, Egon. / Using Complexity Measures in Information Retrieval. Proceedings of the Third Symposium on Information Interaction in Context, IIiX '10. editor / N.J. Belkin ; D. Kelly. New York : Association for Computing Machinery (ACM), 2010. pp. 383-388
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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",
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isbn = "978-1-4503-0247-0",
publisher = "Association for Computing Machinery (ACM)",
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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 (ACM), New York, pp. 383-388. 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 (ACM), 2010. p. 383-388.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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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van der Sluis F, van den Broek E. Using Complexity Measures in Information Retrieval. In Belkin NJ, Kelly D, editors, Proceedings of the Third Symposium on Information Interaction in Context, IIiX '10. New York: Association for Computing Machinery (ACM). 2010. p. 383-388 https://doi.org/10.1145/1840784.1840843