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Research on collaborative filtering recommendation algorithm based on user interest for cloud computing

Research on collaborative filtering recommendation algorithm based on user interest for cloud... Aiming to resolve the mobile commerce scenario suggested problems, cloud computing technology and mobile user context are combined to propose a collaborative filtering model based on user interest in mobile scenarios. Through computing the scene similarity based on mobile users, we find similar scenarios constructed target user set current situation and then establish the item scoring scene and scoring matrix. Based on MapReduce, we propose a collaborative filtering recommendation method to realise parallel recommendation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Internet Manufacturing and Services Inderscience Publishers

Research on collaborative filtering recommendation algorithm based on user interest for cloud computing

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1751-6048
eISSN
1751-6056
DOI
10.1504/IJIMS.2019.103875
Publisher site
See Article on Publisher Site

Abstract

Aiming to resolve the mobile commerce scenario suggested problems, cloud computing technology and mobile user context are combined to propose a collaborative filtering model based on user interest in mobile scenarios. Through computing the scene similarity based on mobile users, we find similar scenarios constructed target user set current situation and then establish the item scoring scene and scoring matrix. Based on MapReduce, we propose a collaborative filtering recommendation method to realise parallel recommendation.

Journal

International Journal of Internet Manufacturing and Services – Inderscience Publishers

Published: Jan 1, 2019

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