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Reseach Article

A Review on Web Recommendation System

by Animesh Shrivastava, Anand Singh Rajawat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 17
Year of Publication: 2013
Authors: Animesh Shrivastava, Anand Singh Rajawat
10.5120/14668-2842

Animesh Shrivastava, Anand Singh Rajawat . A Review on Web Recommendation System. International Journal of Computer Applications. 83, 17 ( December 2013), 14-17. DOI=10.5120/14668-2842

@article{ 10.5120/14668-2842,
author = { Animesh Shrivastava, Anand Singh Rajawat },
title = { A Review on Web Recommendation System },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 17 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number17/14668-2842/ },
doi = { 10.5120/14668-2842 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:38.738748+05:30
%A Animesh Shrivastava
%A Anand Singh Rajawat
%T A Review on Web Recommendation System
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 17
%P 14-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Web world, there is immense of information available on the internet but user is not capable to find relevant information in short period of time. Therefore, a system called recommendation system developed to assist user in their browsing activities. It analyzes users need and provides relevant information in shorter span. In this work, various recommendation systems reviewed to analyze their problems and solutions. In order to improve the recommendation quality, a new web recommendation system is introduced. This system uses knn and genetic algorithm during web usage mining process to analyze static web access log.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Recommendation System Web Usage Mining