Article

Improvement of Web retrieval by the use of contextual information of pages

Authors:

Fernando Aguiar,

Michel BeigbederAuthors Info & Claims

HYPERTEXT '01: Proceedings of the 12th ACM conference on Hypertext and Hypermedia

Pages 247 - 248

https://doi.org/10.1145/504216.504277

Published: 10 September 2001 Publication History

Get Access

Abstract

This work suggests a new model of Information Retrieval System for searching information in hypertexts representing web sites. The model is based on the construction of a 2-component index. One component concerns the HTML pages individually. The other one concerns the context of the pages. The assumed premise is that the textual content of a HTML page is not sufficient for a indexing process to extract the information that the page conveys. By the use of both local and complementary content when indexing pages, the quality of their index is improved and so is the effectiveness of the search engine.

References

[1]

C. E. Dyreson. A Jumping Spider: Restructuring the WWW Graph to Index Concepts that Span Pages. In Proceedings of the Seventh International WWW Conference, Brisbane, Australia, 1998.

Google Scholar

[2]

W. Li and al. Retrieving and Organizing Web Pages by "Information Unit". In Proceedings of the Tenth International WWW Conference, Hong Kong, China, 2001.

Digital Library

Google Scholar

[3]

Y. Mizuuchi and K. Tajima. Finding Context Paths for Web Pages. In Proceedings of the Ninth ACM Conference on Hypertext and Hypermedia. ACM, 1999.

Digital Library

Google Scholar

Index Terms

Improvement of Web retrieval by the use of contextual information of pages

Recommendations

Improving web search by the identification of contextual information
Intelligent exploration of the web

The work presented in this chapter suggests a new model of Information Retrieval System to search for information in hypertexts underlying Web sites. The model is based on the construction of a 2-level index. One level concerns the HTML pages ...
Mining the web with hierarchical crawlers – a resource sharing based crawling approach

An important component of any web search engine is its crawler, which is also known as robot or spider. An efficient set of crawlers make any search engine more powerful, apart from its other measures of performance, such as its ranking algorithm, ...
Contextual relevance feedback in web information retrieval
IIiX: Proceedings of the 1st international conference on Information interaction in context

In this paper, we present an alternative approach to the problem of contextual relevance feedback in web-based information retrieval. Our approach utilises a rich contextual model that exploits a user's implicit and explicit data. Each user's implicit ...

Comments

Information & Contributors

Information

Published In

HYPERTEXT '01: Proceedings of the 12th ACM conference on Hypertext and Hypermedia

September 2001

270 pages

ISBN:1581134207

DOI:10.1145/504216

General Chair:
Kaj Grønbæk
University of Aarhus, Denmark
,
Program Chairs:
Hugh Davis
Univ. of Southampton, UK
,
Yellowlees Douglas
Univ. of Florida

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2001

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

HT01

Sponsor:

SIGWEB
UAARHUS
AIAS
JDI
CCTAS
DANSKEB
SA
TT
HYPE

HT01: The 12th ACM Conference on Hypertext and Hypermedia

August 14 - 18, 2001

none, Århus, Denmark

Acceptance Rates

HYPERTEXT '01 Paper Acceptance Rate 45 of 136 submissions, 33%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

Upcoming Conference

HT '24

Sponsor:
sigweb

35th ACM Conference on Hypertext and Social Media

September 10 - 13, 2024

Poznan , Poland

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
399
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 27 Jul 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Index Terms

Recommendations

Improving web search by the identification of contextual information

Mining the web with hierarchical crawlers – a resource sharing based crawling approach

Contextual relevance feedback in web information retrieval