Title :
Incorporating circulation data in relevancy rankings for search algorithms in library collections
Author :
Green, H.E. ; Hess, K. ; Hislop, R.
Author_Institution :
Univ. Libr., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
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.
Keywords :
cataloguing; data visualisation; information retrieval; libraries; parallel machines; research and development; anonymous circulation data; circulation data; information retrieval research; library catalog; library collections; predictive network analyses; relevancy rankings; search algorithms; shared subject headings; subject area visualizations; supercomputing resources; Catalogs; Data mining; Data visualization; Educational institutions; History; Information retrieval; Libraries; Information retrieval; data mining; digital libraries; metadata;
Conference_Titel :
E-Science (e-Science), 2012 IEEE 8th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4467-8
DOI :
10.1109/eScience.2012.6404447