@inproceedings{63354cea9a594fb588d458198bbaaef9,
title = "Machine learning approach to document retrieval: An overview and an experiment",
abstract = "In this article we first provide an overview of AI techniques and then present a machine learning based document retrieval system we developed. GANNET (Genetic Algorithms and Neural Nets System) performed concept (keyword) optimization for user-selected documents during document retrieval using the genetic algorithms. It then used the optimized concepts to perform concept exploration in a large network of related concepts through the Hopfield net parallel relaxation procedure. Our preliminary experiment showed that GANNET helped improve search recall by identifying the underlying concepts (keywords) which best describe the user-selected documents.",
author = "H. Chen",
year = "1994",
language = "English (US)",
isbn = "0818650702",
series = "Proceedings of the Hawaii International Conference on System Sciences",
publisher = "Publ by IEEE",
pages = "631--640",
editor = "Nunamaker, {Jay F.} and Sprague, {Ralph H.Jr.}",
booktitle = "Proceedings of the Hawaii International Conference on System Sciences",
note = "Proceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) ; Conference date: 04-01-1994 Through 07-01-1994",
}