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A Web Information Retrieval System

Authors :
Chung-Hwa Yoon
Il-Hwan Cho
Yunsik Lee
Tae-Hyun Kim
Dong-Min Woo
Hyen-Ug Kim
Dong-Chul Park
Chong-Dae Park
Taikyeong Jeong
Woong Huh
Source :
Communications in Computer and Information Science ISBN: 9783642181337
Publication Year :
2011
Publisher :
Springer Berlin Heidelberg, 2011.

Abstract

An approach for the retrieval of price information from internet sites is applied to real-world application problems in this paper. The Web Information Retrieval System (WIRS) utilizes Hidden Markov Model (HMM) for its powerful capability to process temporal information. HMM is an extremely flexible tool and has been successfully applied to a wide variety of stochastic modeling tasks. In order to compare the prices and features of products from various web sites, the WIRS extracts prices and descriptions of various products within web pages. The WIRS is evaluated with real-world problems and compared with a conventional method and the result is reported in this paper.

Details

ISBN :
978-3-642-18133-7
ISBNs :
9783642181337
Database :
OpenAIRE
Journal :
Communications in Computer and Information Science ISBN: 9783642181337
Accession number :
edsair.doi...........be76f57fa95b5f3cee2727432fe87f09
Full Text :
https://doi.org/10.1007/978-3-642-18134-4_81