Modeling search assistance mechanisms within web-scale discovery systems

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

Abstract

The University of Illinois Library has been conducting transaction log analyses to model user search behaviors within our Library gateway. These analyses have informed the development and implementation of various search assistance mechanisms designed to facilitate search strategy modification and enhance user search navigation methods. This paper discusses the efforts to effectively overlay search assistance mechanisms into the web-scale discovery system environment. These search assistance mechanisms seek to meet user search needs and to address known issues with web-scale systems. This paper describes an evolving search assistance model being deployed in a web-scale environment and reports our findings from transaction log studies and user surveys.

Original languageEnglish (US)
Title of host publicationJCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries
Pages407-408
Number of pages2
DOIs
StatePublished - Aug 23 2013
Event13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013 - Indianapolis, IN, United States
Duration: Jul 22 2013Jul 26 2013

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Other

Other13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
CountryUnited States
CityIndianapolis, IN
Period7/22/137/26/13

Keywords

  • Library gateways
  • Search assistance
  • Transaction log analysis
  • Web-scale discovery systems

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Mischo, W. H., Schlembach, M. C., & Norman, M. A. (2013). Modeling search assistance mechanisms within web-scale discovery systems. In JCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 407-408). (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries). https://doi.org/10.1145/2467696.2467784