Journal of Computer & Information Technology

Collaborative Filtering Based Recommender System For E- Commerce

Author:
1URVASHI CHITRANSH SHRIVASTAVA and 2M.A. RIZVI
Affiliation:

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

Keyword:
Ecommence, recommender system, collaborative filleming
Issue Date:
October 2016
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.
Pages:
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:

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Available from: http://www.compitjournal.org/paper/314/

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