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Number 10

Evaluating the Effectiveness of Web Search Metrics

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  • J. Jayanthi and M. Ezhilmathi and S. Rathi 2012. Evaluating the Effectiveness of Web Search Metrics. International Journal of Applied Information Systems. 4, 10 (December 2012), 28-35. DOI=http://dx.doi.org/10.5120/ijais450818 
  • @article{10.5120/ijais2017451568,
author = {J. Jayanthi and M. Ezhilmathi and S. Rathi},
title = {Evaluating the Effectiveness of Web Search Metrics},
journal = {International Journal of Applied Information Systems},
issue_date = {December 2012},
volume = {4},
number = {},
month = {December},
year = {2012},
issn = {},
pages = {28-35},
numpages = {},
url = {/archives/volume4/number10/396-0818},
doi = { 10.5120/ijais12-450818},
publisher = { xA9 2012 by IJAIS Journal},
address = {}
}

  • %1 450818
%A J.  Jayanthi
%A M.  Ezhilmathi
%A S.  Rathi
%T Evaluating the Effectiveness of Web Search Metrics
%J International Journal of Applied Information Systems
%@ 
%V 4
%N 
%P 28-35
%D 2012
%I  xA9 2012 by IJAIS Journal

Abstract

Software metrics are the key performance indicators, using which the performance of a system can be assessed quantitatively. Metrics can also be applied for personalized web search which can be used to retrieve relevant results for each individual user depending on their unique profile. Although personalized search based on user profile has been under research for many years and various metrics have been proposed, it is still uncertain whether personalization is unswervingly effective on different queries for different user profiles. A framework for personalized search which retrieves result based on user profile has been presented in this paper. User profile is maintained in the form of preference network (PN). Further metrics for ranking the search results based on user profile is also proposed.

References

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Keywords

Personalization, user profile, preference network

Index Terms

Computer Science
Information Sciences