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Performance Assessment of AMRR and ADCG Metrics in MLIR and IR Systems

by Raju Korra, Pothula Sujatha, Prof.P.Dhavachelvan, Madarapu Naresh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 2
Year of Publication: 2011
Authors: Raju Korra, Pothula Sujatha, Prof.P.Dhavachelvan, Madarapu Naresh Kumar
10.5120/2919-3851

Raju Korra, Pothula Sujatha, Prof.P.Dhavachelvan, Madarapu Naresh Kumar . Performance Assessment of AMRR and ADCG Metrics in MLIR and IR Systems. International Journal of Computer Applications. 24, 2 ( June 2011), 43-48. DOI=10.5120/2919-3851

@article{ 10.5120/2919-3851,
author = { Raju Korra, Pothula Sujatha, Prof.P.Dhavachelvan, Madarapu Naresh Kumar },
title = { Performance Assessment of AMRR and ADCG Metrics in MLIR and IR Systems },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 2 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 43-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number2/2919-3851/ },
doi = { 10.5120/2919-3851 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:59.200437+05:30
%A Raju Korra
%A Pothula Sujatha
%A Prof.P.Dhavachelvan
%A Madarapu Naresh Kumar
%T Performance Assessment of AMRR and ADCG Metrics in MLIR and IR Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 2
%P 43-48
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multiple language documents retrieval is being done by using Multilingual Information Retrieval (MLIR) system. MLIR system deals with the use of queries in one language and retrieves the documents in various languages. The Query translation plays a central role in MLIR system research. We have used English as the source language and Hindi, French and German as the target languages. The experimental results are evaluated to analyze and compare the performance of proposed MLIR system metrics, Average Mean Reciprocal Rank (AMRR) and Average Discounted Cumulative Gain (ADCG), in Information Retrieval (IR) and MLIR system. Experimental results show that the performance of AMRR, ADCG in MLIR system has been improved 81.67%, 43.93% over IR system respectively.

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Index Terms

Computer Science
Information Sciences

Keywords

MLIR Mean Reciprocal Rank Cumulative Gain Average Mean Reciprocal Rank Average Discounted Cumulative Gain

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