Retrieval of product reputations from the WWW

Takahiro Hayashi, Yosuke Kinosita, Rikio Onai

Research output: Contribution to journalArticle

Abstract

We present a system for retrieving web pages which contain product reputations. We assume that product reputations are contained in personal pages and message board pages, and propose the system to retrieve those web pages. We illustrate that the system can distinguish those web pages automatically from other pages using six kinds of features extracted from a web page. We have evaluated the performance of the proposed system by computing precision and recall measures.

Original languageEnglish
Pages (from-to)187-195
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3215
Publication statusPublished - 2004
Externally publishedYes

Fingerprint

World Wide Web
Websites
Retrieval
Reputation
Computing

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

@article{d6061dbb78694dbdada8aededa19a262,
title = "Retrieval of product reputations from the WWW",
abstract = "We present a system for retrieving web pages which contain product reputations. We assume that product reputations are contained in personal pages and message board pages, and propose the system to retrieve those web pages. We illustrate that the system can distinguish those web pages automatically from other pages using six kinds of features extracted from a web page. We have evaluated the performance of the proposed system by computing precision and recall measures.",
author = "Takahiro Hayashi and Yosuke Kinosita and Rikio Onai",
year = "2004",
language = "English",
volume = "3215",
pages = "187--195",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",

}

TY - JOUR

T1 - Retrieval of product reputations from the WWW

AU - Hayashi, Takahiro

AU - Kinosita, Yosuke

AU - Onai, Rikio

PY - 2004

Y1 - 2004

N2 - We present a system for retrieving web pages which contain product reputations. We assume that product reputations are contained in personal pages and message board pages, and propose the system to retrieve those web pages. We illustrate that the system can distinguish those web pages automatically from other pages using six kinds of features extracted from a web page. We have evaluated the performance of the proposed system by computing precision and recall measures.

AB - We present a system for retrieving web pages which contain product reputations. We assume that product reputations are contained in personal pages and message board pages, and propose the system to retrieve those web pages. We illustrate that the system can distinguish those web pages automatically from other pages using six kinds of features extracted from a web page. We have evaluated the performance of the proposed system by computing precision and recall measures.

UR - http://www.scopus.com/inward/record.url?scp=35048823021&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35048823021&partnerID=8YFLogxK

M3 - Article

VL - 3215

SP - 187

EP - 195

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -