@inproceedings{a5bbf204e0524e1290ff08dd116eaf45,
title = "Designing a value based niche search engine using evolutionary strategies",
abstract = "The advent of e-commerce and corporate intranets has led to the growth of organizational repositories containing large, fragmented, and unstructured document collections. Though it is difficult to retrieve relevant documents from such collections, it is relatively less cumbersome to define categories broadly classifying the information contained in the collection. Such categories lend value to the information contained in the collection. This research addresses the issue of improving retrieval accuracy of search engines that retrieve documents from organizational repositories using a value based approach. We test an evolutionary algorithm approach on a document collection. The precision of the search algorithm improved from 40% in generation 1 of the algorithm to nearly 90% in generation 10,000.",
author = "Sourav Sengupta and Jansen, {Bernard J.}",
year = "2005",
doi = "10.1109/itcc.2005.125",
language = "English (US)",
isbn = "0769523153",
series = "International Conference on Information Technology: Coding and Computing, ITCC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "800--805",
booktitle = "Proceedings ITCC 2005 - International Conference on Information Technology",
address = "United States",
note = "ITCC 2005 - International Conference on Information Technology: Coding and Computing ; Conference date: 04-04-2005 Through 06-04-2005",
}