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A novel context matching based technique for web document retrieval

conference contribution
posted on 06.12.2017, 00:00 by J Zakos, Brijesh Verma
This paper presents a novel context matching technique for the retrieval of web documents. The aim of the technique is to dynamically generate a context-based measure of document term significance during retrieval that can be used as a substitute or co-contributor of the term frequency measure. Unlike term frequency, which relies on a term to occur multiple times within a document to be considered significant, context matching is based on the notion that if a term in a given document occurs in that document in the context of the query, then that term is deemed to be significant. Context matching has the ability to potentially determine a term to be significant even if it occurs only once in a large document. The proposed technique has been implemented and the experiments were conducted using a TREC benchmark database. A comparative analysis shows that context matching significantly improves retrieval effectiveness and outperforms previously published results.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

909

End Page

913

Number of Pages

5

Start Date

01/01/2005

ISBN-10

0769524206

Location

Seoul, South Korea

Publisher

IEEE

Place of Publication

New Jersey

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Name of Conference

International Conference on Document Analysis and Recognition

Usage metrics

CQUniversity

Exports