Personalized Recommendation Algorithm of E-commerce Based on Cloud Computing

DOI

10.2991/icaset-17.2017.37How to use a DOI?

Keywords

E-commerce, Cloud Computing, Personalized Recommendation Algorithm

Abstract

The project-based collaborative filtering algorithm and matrix decomposition-based ALS collaborative filtering algorithm in the personalized recommendation of e-commerce are analyzed deeply in the paper, the principles of parallelization work are discussed, and the parallelization processes of project-based collaborative filtering algorithm improvement and matrix decomposition-based ALS collaborative filtering algorithm are offered via using MapReduce parallel programming model.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Yang
AU  - Hongxia He
AU  - Haixia Lan
AU  - Yujuan Shi
PY  - 2017/05
DA  - 2017/05
TI  - Personalized Recommendation Algorithm of E-commerce Based on Cloud Computing
BT  - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
PB  - Atlantis Press
SP  - 197
EP  - 200
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-17.2017.37
DO  - 10.2991/icaset-17.2017.37
ID  - Yang2017/05
ER  -