IEICE TRANSACTIONS on Information
Information Extraction from Personal Computer Specifications on the Web Using a User's Request
Summary :
This paper proposes a method to integrate computer specifications retrieved from multiple Web sites, to extract characteristic-data of each computer based on integrated information, and to present products suitable for a user's request. The specifications written in HTML are converted into normal forms called table structure. The quantitative attributes such as speed, capacity and dimensions are extracted by comparing them with the mean or mode of all sample data, and the qualitative ones such as kind of processor and graphics chip are extracted using knowledge provided manually. The recommended products are dynamically determined from the extracted data by a user's request and relevance feedback. Experimental results show the effectiveness of our method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E86-D No.8 pp.1386-1395
- Publication Date
- 2003/08/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Databases
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Kazutaka SHIMADA, Atsushi FUKUMOTO, Tsutomu ENDO, "Information Extraction from Personal Computer Specifications on the Web Using a User's Request" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 8, pp. 1386-1395, August 2003, doi: .
Abstract: This paper proposes a method to integrate computer specifications retrieved from multiple Web sites, to extract characteristic-data of each computer based on integrated information, and to present products suitable for a user's request. The specifications written in HTML are converted into normal forms called table structure. The quantitative attributes such as speed, capacity and dimensions are extracted by comparing them with the mean or mode of all sample data, and the qualitative ones such as kind of processor and graphics chip are extracted using knowledge provided manually. The recommended products are dynamically determined from the extracted data by a user's request and relevance feedback. Experimental results show the effectiveness of our method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_8_1386/_p
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@ARTICLE{e86-d_8_1386,
author={Kazutaka SHIMADA, Atsushi FUKUMOTO, Tsutomu ENDO, },
journal={IEICE TRANSACTIONS on Information},
title={Information Extraction from Personal Computer Specifications on the Web Using a User's Request},
year={2003},
volume={E86-D},
number={8},
pages={1386-1395},
abstract={This paper proposes a method to integrate computer specifications retrieved from multiple Web sites, to extract characteristic-data of each computer based on integrated information, and to present products suitable for a user's request. The specifications written in HTML are converted into normal forms called table structure. The quantitative attributes such as speed, capacity and dimensions are extracted by comparing them with the mean or mode of all sample data, and the qualitative ones such as kind of processor and graphics chip are extracted using knowledge provided manually. The recommended products are dynamically determined from the extracted data by a user's request and relevance feedback. Experimental results show the effectiveness of our method.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Information Extraction from Personal Computer Specifications on the Web Using a User's Request
T2 - IEICE TRANSACTIONS on Information
SP - 1386
EP - 1395
AU - Kazutaka SHIMADA
AU - Atsushi FUKUMOTO
AU - Tsutomu ENDO
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2003
AB - This paper proposes a method to integrate computer specifications retrieved from multiple Web sites, to extract characteristic-data of each computer based on integrated information, and to present products suitable for a user's request. The specifications written in HTML are converted into normal forms called table structure. The quantitative attributes such as speed, capacity and dimensions are extracted by comparing them with the mean or mode of all sample data, and the qualitative ones such as kind of processor and graphics chip are extracted using knowledge provided manually. The recommended products are dynamically determined from the extracted data by a user's request and relevance feedback. Experimental results show the effectiveness of our method.
ER -
English
