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Reseach Article

A Study of Recommender System Techniques

by Reena Pagare, Anita Shinde
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 16
Year of Publication: 2012
Authors: Reena Pagare, Anita Shinde
10.5120/7269-0078

Reena Pagare, Anita Shinde . A Study of Recommender System Techniques. International Journal of Computer Applications. 47, 16 ( June 2012), 1-4. DOI=10.5120/7269-0078

@article{ 10.5120/7269-0078,
author = { Reena Pagare, Anita Shinde },
title = { A Study of Recommender System Techniques },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 16 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number16/7269-0078/ },
doi = { 10.5120/7269-0078 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:59.025678+05:30
%A Reena Pagare
%A Anita Shinde
%T A Study of Recommender System Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 16
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many clients like to use the Web to discover product details in the form of online reviews. These reviews are given by other clients and specialists. User-given reviews are becoming more prevalent. Recommender systems provide an important response to the information overload problem as it presents users more practical and personalized information services. Collaborative filtering techniques play vital component in recommender systems as they generate high-quality recommendations by influencing the likings of society of similar users.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Collaborative Filtering Sparsity Problem Trust Network