Intuitive display for search engines toward fast detection of peculiar WWW pages

Einoshin Suzuki, Shin Ando, Masayuki Hirose, Masatoshi Jumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we discuss utilization of data mining techniques in realizing intuitive display for search engines toward fast detection of peculiar WWW pages. A search engine can be regarded as a telescope for WWW because it serves as a means to find relevant information in the huge cyberspace. Most of the current display styles of search engines are, however, just text-based rankings thus are far from intuitive. They are also inadequate for certain activities such as browsing for unexpected Web pages. Detection of peculiar WWW pages is expected to lead to making profits and to stimulating our creativity. Our visualization method DPITT (Detecting Peculiar WWW pages from Image, Topic and Term) is based on several data mining techniques and outperforms that of Google in a problem setting which largely favors Google. In this paper, we mainly present our DPITT and we introduce our latest system GEMVIG.

Original languageEnglish
Title of host publicationWeb Intelligence Meets Brain Informatics - First WICI International Workshop, WImBI 2006, Revised Selected and Invited Papers
PublisherSpringer Verlag
Pages341-352
Number of pages12
ISBN (Print)9783540770275
DOIs
Publication statusPublished - Jan 1 2007
Event1st WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006 - Beijing, China
Duration: Dec 15 2006Dec 16 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4845 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006
CountryChina
CityBeijing
Period12/15/0612/16/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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