Incorporating circulation data in relevancy rankings for search algorithms in library collections

Harriett E Green, Kirk Hess, Richard Hislop

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper demonstrates a series of analyses to calculate new clusters of shared subject headings among items in a library collection. The paper establishes a method of reconstituting anonymous circulation data from a library catalog into separate user transactions. The transaction data is incorporated into subject analyses that use supercomputing resources to generate predictive network analyses and visualizations of subject areas searched by library users. The paper develops several methods for ranking these subject headings, and shows how the analyses will be extended on supercomputing resources for information retrieval research.

Original languageEnglish (US)
Title of host publication2012 IEEE 8th International Conference on E-Science, e-Science 2012
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE 8th International Conference on E-Science, e-Science 2012 - Chicago, IL, United States
Duration: Oct 8 2012Oct 12 2012

Publication series

Name2012 IEEE 8th International Conference on E-Science, e-Science 2012

Other

Other2012 IEEE 8th International Conference on E-Science, e-Science 2012
Country/TerritoryUnited States
CityChicago, IL
Period10/8/1210/12/12

Keywords

  • Data mining
  • Digital libraries
  • Information retrieval
  • Metadata

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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