A Web Information Retrieval System

被引：0

作者：

Kim, Tae-Hyun ^{[1
]}

Park, Dong-Chul ^{[1
]}

Huh, Woong ^{[1
]}

Kim, Hyen-Ug ^{[1
]}

Yoon, Chung-Hwa ^{[1
]}

Park, Chong-Dae ^{[1
]}

Woo, Dong-Min ^{[1
]}

Jeong, Taikyeong ^{[1
]}

Cho, Il-Hwan ^{[1
]}

Lee, Yunsik ^{[2
]}

机构：

[1] Myong Ji Univ, Dept Elect Engn, Seoul, South Korea

[2] Korea Elect Tech Inst, Syst IC R&D Div, Songnam, South Korea

来源：

INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II | 2011年 / 135卷

基金：

新加坡国家研究基金会;

关键词：

web; information retrieval; Hidden Markov Model;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：509 / +

页数：3

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