International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation Survey on Collaborative Filtering Technique in Recommendation System, Authors : Omkar S. Revankar, Dr.Mrs. Y.V.Haribhakta , International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 4, Issue 3, March 2015

Title:
Survey on Collaborative Filtering Technique in Recommendation System
Author Name:
Omkar S. Revankar, Dr.Mrs. Y.V.Haribhakta
Abstract:
ABSTRACT This article presents an overview of recommendation System and illustrates the present generation of recommendation techniques. These techniques are usually categorized into three main classes as Collaborative Filtering (CF), Content-Based Filtering (CBF), and Hybrid Recommendation approaches. CF is a framework for filtering information based on the preferences of users. This technique can predict a user’s preferred items by using the user’s known history data as well as other users’ known history data, and then recommends items to the user. This paper is focused on collaborative filtering; its types and its major challenges for instance cold start problem, data sparsity, scalability and accuracy. Keywords:- Recommender systems, Collaborative Filtering, Content based Filtering.
Cite this article:
Omkar S. Revankar, Dr.Mrs. Y.V.Haribhakta , " Survey on Collaborative Filtering Technique in Recommendation System " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 4, Issue 3, March 2015 , pp. 085-091 , ISSN 2319 - 4847.
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