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Reseach Article

Improving the Information Retrieval System through Effective Evaluation of Web Page in Client Side Analysis

by Rekha.C, Usharani.J, Dr. K. Iyakutti
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 15 - Number 6
Year of Publication: 2011
Authors: Rekha.C, Usharani.J, Dr. K. Iyakutti
10.5120/1950-2608

Rekha.C, Usharani.J, Dr. K. Iyakutti . Improving the Information Retrieval System through Effective Evaluation of Web Page in Client Side Analysis. International Journal of Computer Applications. 15, 6 ( February 2011), 35-39. DOI=10.5120/1950-2608

@article{ 10.5120/1950-2608,
author = { Rekha.C, Usharani.J, Dr. K. Iyakutti },
title = { Improving the Information Retrieval System through Effective Evaluation of Web Page in Client Side Analysis },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 15 },
number = { 6 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume15/number6/1950-2608/ },
doi = { 10.5120/1950-2608 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:28.771428+05:30
%A Rekha.C
%A Usharani.J
%A Dr. K. Iyakutti
%T Improving the Information Retrieval System through Effective Evaluation of Web Page in Client Side Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 15
%N 6
%P 35-39
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To improve the information retrieval system for user, programmers have to learn a user's preferences accurately. In order to optimize retrieval accuracy, modeling the users appropriately based on their preferences and personalizing search according to each individual user are important. Implicit feedback information improves the user modeling process. The advantage of implicit modeling is effectively improving the user model without extra effort of user. Several implicit feedback features are used to develop user modeling process. We present a new model to find a user's preferences from click through behavior and using the exposed preferences to adapt the search engine's ranking function for improving search service. In this proposed model, the combination of viewed and stored document summaries is used.

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Index Terms

Computer Science
Information Sciences

Keywords

Information Retrieval Effective Evaluation Client Side