By Topic

Hierarchically organized neural net agents for distributed Web information retrieval

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)
Choi, Y.S. ; Dept. of Comput. Sci., Seoul Nat. Univ., South Korea ; Yoo, S.I. ; Jaeho Lee

Agent based information retrieval systems have gained great attention, due to the proliferation of readily available but overwhelming information on the Web. We present a neural network based multi agent, especially hierarchically organized information retrieval system. The motivation is based on our experience with an experimental system called Hierarchically Organized Multi-agent Information Retrieval System (HOMIRS) and an analysis of the tradeoff between multi-agent coordination overhead and the benefits of the hierarchical organization of agents. We first introduce our neural network based information retrieval system and then present experimental results with HOMIRS

Published in:

Computer Software and Applications Conference, 1999. COMPSAC '99. Proceedings. The Twenty-Third Annual International

Date of Conference: