Proximity within paragraph: A measure to enhance eocument retrieval performance

Srisupa Palakvangsa-Na-Ayudhya; John A. Keane

doi:10.1145/1135777.1136001

Proximity within paragraph: A measure to enhance eocument retrieval performance

Srisupa Palakvangsa-Na-Ayudhya, John A. Keane

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

We created a proximity measure, called Proximity Within Paragraph (PWP), which is based on the concept of value assignment to queried words, grouped by associated ideas within paragraphs. Based on the WT10G dataset, a test system comprising three test sets and fifty queries were constructed to evaluate the effectiveness of PWP by comparing it with the existing method: Minimum Distance Between Queried Pairs. A further experiment combines the scores obtained from both methods and the results suggest that the combination can significantly improve the effectiveness.

Original language	English
Title of host publication	Proceedings of the 15th International Conference on World Wide Web\|Proc. Int. Conf. World Wide Web
Publisher	Association for Computing Machinery
Pages	1033-1034
Number of pages	1
ISBN (Print)	1595933239, 9781595933232
DOIs	https://doi.org/10.1145/1135777.1136001
Publication status	Published - 2006
Event	15th International Conference on World Wide Web - Edinburgh, Scotland Duration: 1 Jul 2006 → … http://dblp.uni-trier.de/db/conf/www/www2006.html#Palakvangsa-Na-AyudhyaK06http://dblp.uni-trier.de/rec/bibtex/conf/www/Palakvangsa-Na-AyudhyaK06.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/www/Palakvangsa-Na-AyudhyaK06

Conference

Conference	15th International Conference on World Wide Web
City	Edinburgh, Scotland
Period	1/07/06 → …
Internet address	http://dblp.uni-trier.de/db/conf/www/www2006.html#Palakvangsa-Na-AyudhyaK06http://dblp.uni-trier.de/rec/bibtex/conf/www/Palakvangsa-Na-AyudhyaK06.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/www/Palakvangsa-Na-AyudhyaK06

Keywords

Proximity measure
Ranking algorithm

Access to Document

10.1145/1135777.1136001

Cite this

@inproceedings{180606522b144efda8b34c3aa13be6b7,

title = "Proximity within paragraph: A measure to enhance eocument retrieval performance",

abstract = "We created a proximity measure, called Proximity Within Paragraph (PWP), which is based on the concept of value assignment to queried words, grouped by associated ideas within paragraphs. Based on the WT10G dataset, a test system comprising three test sets and fifty queries were constructed to evaluate the effectiveness of PWP by comparing it with the existing method: Minimum Distance Between Queried Pairs. A further experiment combines the scores obtained from both methods and the results suggest that the combination can significantly improve the effectiveness.",

keywords = "Proximity measure, Ranking algorithm",

author = "Srisupa Palakvangsa-Na-Ayudhya and Keane, {John A.}",

year = "2006",

doi = "10.1145/1135777.1136001",

language = "English",

isbn = "1595933239",

pages = "1033--1034",

booktitle = "Proceedings of the 15th International Conference on World Wide Web|Proc. Int. Conf. World Wide Web",

publisher = "Association for Computing Machinery",

address = "United States",

note = "15th International Conference on World Wide Web ; Conference date: 01-07-2006",

url = "http://dblp.uni-trier.de/db/conf/www/www2006.html#Palakvangsa-Na-AyudhyaK06http://dblp.uni-trier.de/rec/bibtex/conf/www/Palakvangsa-Na-AyudhyaK06.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/www/Palakvangsa-Na-AyudhyaK06",

}

Palakvangsa-Na-Ayudhya, S & Keane, JA 2006, Proximity within paragraph: A measure to enhance eocument retrieval performance. in Proceedings of the 15th International Conference on World Wide Web|Proc. Int. Conf. World Wide Web. Association for Computing Machinery, pp. 1033-1034, 15th International Conference on World Wide Web, Edinburgh, Scotland, 1/07/06. https://doi.org/10.1145/1135777.1136001

TY - GEN

T1 - Proximity within paragraph: A measure to enhance eocument retrieval performance

AU - Palakvangsa-Na-Ayudhya, Srisupa

AU - Keane, John A.

PY - 2006

Y1 - 2006

N2 - We created a proximity measure, called Proximity Within Paragraph (PWP), which is based on the concept of value assignment to queried words, grouped by associated ideas within paragraphs. Based on the WT10G dataset, a test system comprising three test sets and fifty queries were constructed to evaluate the effectiveness of PWP by comparing it with the existing method: Minimum Distance Between Queried Pairs. A further experiment combines the scores obtained from both methods and the results suggest that the combination can significantly improve the effectiveness.

AB - We created a proximity measure, called Proximity Within Paragraph (PWP), which is based on the concept of value assignment to queried words, grouped by associated ideas within paragraphs. Based on the WT10G dataset, a test system comprising three test sets and fifty queries were constructed to evaluate the effectiveness of PWP by comparing it with the existing method: Minimum Distance Between Queried Pairs. A further experiment combines the scores obtained from both methods and the results suggest that the combination can significantly improve the effectiveness.

KW - Proximity measure

KW - Ranking algorithm

U2 - 10.1145/1135777.1136001

DO - 10.1145/1135777.1136001

M3 - Conference contribution

SN - 1595933239

SN - 9781595933232

SP - 1033

EP - 1034

BT - Proceedings of the 15th International Conference on World Wide Web|Proc. Int. Conf. World Wide Web

PB - Association for Computing Machinery

T2 - 15th International Conference on World Wide Web

Y2 - 1 July 2006

ER -

Proximity within paragraph: A measure to enhance eocument retrieval performance

Abstract

Conference

Keywords

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