Journal of Computer & Information Technology

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Voulume: 7
Issue: 2
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Article No. 1
Collaborative Filtering Based Recommender System For E- Commerce
1URVASHI CHITRANSH SHRIVASTAVA and 2M.A. RIZVI

1M. tech National Institute of Technical Teachers Training and Research Bhopal (M.P.)
2 Associate Professor National Institute of Technical Teachers Training and Research Bhopal (M.P.)

Email of Corresponding Author :- marizv@nitttrbpl.ac.in

http://dx.doi.org/10.22147/jucit/070201

Abstract :

Collaborative filtering is a powerful technology which is used in this huge adaptive web technology to evaluate the opinions based on others mind or we can say that it is a technique to suggest, evaluate or filter the items or data according the mood or interest of others. Here in this paper we suggest a concept of a recommender system based on collaborative filtering for e-commerce or online shopping portal in which a probable suggestion is filtered for the user and a brief on collaborative filtering and previous work done.

Keyword : Ecommence, recommender system, collaborative filleming
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