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A Survey on Collaborative Filtering in Accordance with the Agricultural Application

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IJCA Proceedings on International Conference on Advances in Science and Technology
© 2015 by IJCA Journal
ICAST 2014 - Number 2
Year of Publication: 2015
Authors:
Ashwini A. Chirde
Umila K. Biradar

Ashwini A Chirde and Umila K Biradar. Article: A Survey on Collaborative Filtering in Accordance with the Agricultural Application. IJCA Proceedings on International Conference on Advances in Science and Technology ICAST 2014(2):15-18, February 2015. Full text available. BibTeX

@article{key:article,
	author = {Ashwini A. Chirde and Umila K. Biradar},
	title = {Article: A Survey on Collaborative Filtering in Accordance with the Agricultural Application},
	journal = {IJCA Proceedings on International Conference on Advances in Science and Technology},
	year = {2015},
	volume = {ICAST 2014},
	number = {2},
	pages = {15-18},
	month = {February},
	note = {Full text available}
}

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.

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