Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

An Inductive Search System: Theory, Design, and Implementation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Maron, M.E. ; School of Library and Information Studies, University of California, Berkeley, CA 94720, USA ; Sean Curry ; Paul Thompson

An automated information system that can accept requests for information and, in response, selects and ranks by probability of satisfaction the names of those people who can answer the input queries is described. This information system (called Helpnet) is based on new probabilistic design principles, which were previously proposed (but never implemented) for the document retrieval problem. Helpnet has now been implemented on an IBM Personal Computer. The theoretical design principles used for Helpnet and the computer programs used by this implementation of Helpnet are discussed. Also, a preliminary sensitivity analysis is presented, which looks at the question of how input errors influence the rankings at the output. The probabilistic design principles used in Helpnet can be applied to a much larger class of similar situations, which we call "inductive search" situations.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:16 ,  Issue: 1 )