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Reseach Article

A Survey on Collaborative Filtering in Accordance with the Agricultural Application

Published on February 2015 by Ashwini A. Chirde, Umila K. Biradar
International Conference on Advances in Science and Technology
Foundation of Computer Science USA
ICAST2014 - Number 2
February 2015
Authors: Ashwini A. Chirde, Umila K. Biradar
b1e8c6b0-8a77-4b82-b8f0-62fee77c9433

Ashwini A. Chirde, Umila K. Biradar . A Survey on Collaborative Filtering in Accordance with the Agricultural Application. International Conference on Advances in Science and Technology. ICAST2014, 2 (February 2015), 15-18.

@article{
author = { Ashwini A. Chirde, Umila K. Biradar },
title = { A Survey on Collaborative Filtering in Accordance with the Agricultural Application },
journal = { International Conference on Advances in Science and Technology },
issue_date = { February 2015 },
volume = { ICAST2014 },
number = { 2 },
month = { February },
year = { 2015 },
issn = 0975-8887,
pages = { 15-18 },
numpages = 4,
url = { /proceedings/icast2014/number2/19477-5023/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Science and Technology
%A Ashwini A. Chirde
%A Umila K. Biradar
%T A Survey on Collaborative Filtering in Accordance with the Agricultural Application
%J International Conference on Advances in Science and Technology
%@ 0975-8887
%V ICAST2014
%N 2
%P 15-18
%D 2015
%I International Journal of Computer Applications
Abstract

In modern E-Commerce it is not easy for the customers to find the best goods of their interest as there are millions of products available online. Recommender systems, one of these systems, are one of information filtering systems forecasting the items that may be additional interest for user within a big set of items on the basis of user's interests. This system uses the Collaborative filtering, which offers some recommendations to users on the basis of matches in behavioral and functional patterns of users and also shows similar fondness and behavioral patterns with those users. We are going to develop an agriculture based application by using the Collaborative Filtering, Semantic Analysis and Big Data concepts. This system will be useful to farmers for selling their products and getting information regarding the required material in farming.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Collaborative Filter Clustering Lsa-latent Semantic Analysis Recommendation Systems.