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Precision at K in Multilingual Information Retrieval

by Pothula Sujatha, P. Dhavachelvan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 9
Year of Publication: 2011
Authors: Pothula Sujatha, P. Dhavachelvan
10.5120/2990-3929

Pothula Sujatha, P. Dhavachelvan . Precision at K in Multilingual Information Retrieval. International Journal of Computer Applications. 24, 9 ( June 2011), 40-43. DOI=10.5120/2990-3929

@article{ 10.5120/2990-3929,
author = { Pothula Sujatha, P. Dhavachelvan },
title = { Precision at K in Multilingual Information Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 9 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 40-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number9/2990-3929/ },
doi = { 10.5120/2990-3929 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:34.159266+05:30
%A Pothula Sujatha
%A P. Dhavachelvan
%T Precision at K in Multilingual Information Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 9
%P 40-43
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Information Retrieval (IR) is used to store and represent the knowledge and the retrieval of information relevant for a special user query. Multilingual Information Retrieval (MLIR) system helps the users to pose the query in one language and retrieve the documents in more than one language. One of the basic performance measures of IR systems is Precision. While this measure work well in monolingual web retrieval, not suitable for CLIR (Cross-lingual Information Retrieval) or MLIR where two or more languages are involved. This paper proposed a metric which measures Precision at K which is the proportion of relevant documents in the first K positions when more than one document languages involved in the retrieval system i.e. MLIR. Experimental results demonstrate that the proposed metric is effective in systems where more than one document languages involved in the retrieval.

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Index Terms

Computer Science
Information Sciences

Keywords

Multilingual Precision Recall Retrieval effectiveness

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