A model for estimating the savings from dimensional versus keyword search

Karen Corral, David Schuff, Robert St Louis, Ozgur Turetken

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

2 Scopus citations

Abstract

Inefficient and ineffective search is widely recognized as a problem for businesses. The shortcomings of keyword searches have been elaborated upon by many authors, and many enhancements to keyword searches have been proposed. To date, however, no one has provided a quantitative model or systematic process for evaluating the savings that accrue from enhanced search procedures. This paper presents a model for estimating the total cost to a company of relying on keyword searches versus dimensional searches. The model is based on the Zipf-Mandelbrot law in quantitative linguistics. The model shows that a surprisingly small number of searches are required to justify the cost associated with encoding the metadata necessary to support a dimension search engine. Our results imply that it is cost effective for almost any business organization to implement a dimensional search strategy.

Original languageEnglish (US)
Title of host publicationAssociation for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007
Subtitle of host publicationReaching New Heights
Pages98-105
Number of pages8
StatePublished - Dec 1 2007
Event13th Americas Conference on Information Systems, AMCIS 2007 - Keystone, CO, United States
Duration: Aug 10 2007Aug 12 2007

Publication series

NameAssociation for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007: Reaching New Heights
Volume1

Other

Other13th Americas Conference on Information Systems, AMCIS 2007
Country/TerritoryUnited States
CityKeystone, CO
Period8/10/078/12/07

Keywords

  • Dimensional search
  • Information economics
  • Keyword search
  • Zipf-mandelbrot law

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Library and Information Sciences

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