Recommender system using item based collaborative filtering (CF) and K-means-Reference-Cited by-同舟云学术

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Recommender system using item based collaborative filtering (CF) and K-means

Published:2019-07-26 Issue:2 Volume:23 Page:93-101
ISSN:1327-2314
Container-title:International Journal of Knowledge-based and Intelligent Engineering Systems
language:
Short-container-title:KES

Author:

Garanayak Mamata¹,Mohanty Sachi Nandan²,Jagadev Alok Kumar²,Sahoo Sipra³

Affiliation:

1. Department of Computer Science, CUTM, State Private University, Bhubaneswar 752054, India

2. School of Computer Engineering, KIIT, Deemed to be University, Bhubaneswar 751031, India

3. Department of Computer Science, SOA, Deemed to be University, Bhubaneswar 751030, India

Publisher

IOS Press

Subject

Artificial Intelligence,Control and Systems Engineering,Software

Reference17 articles.

1. Movies recommendation system using collaborative filtering and k-means;Phorasim;International Journal of Advanced Computer Research,2017

2. A collaborative filtering recommendation algorithm based on user clustering and item clustering;Gong;Journal of Software,2010

3. Towards the next generation of recommender system: A survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Transactions on Knowledge and Data Engineering,2005

4. Research paper recommendation with topic analysis;Pan;Computer Design and Applications IEEE,2010

5. Guest editors’ introduction: Recommender systems;Felfernig;IEEE Intelligent Systems,2007

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