Proceedings of the International Conference on Computer Information Systems and Industrial Applications

Research of User-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop

Authors
Y.L. Zhang, M.M Ma, S.P Wang
Corresponding Author
Y.L. Zhang
Available Online June 2015.
DOI
https://doi.org/10.2991/cisia-15.2015.17How to use a DOI?
Keywords
collaborative filtering; similarity measure; recommended system; hadoop
Abstract
Collaborative filtering algorithm is one of the key technologies of the current e-commerce recommendation system, in which the effect of similarity measure directly determines the accuracy of the recommendation system. An improved method of similarity measure and the corresponding collaborative filtering recommendation algorithm by introducing a common user items popularity rating between features and user relevance is proposed in this paper. Furthermore, the implementation of collaborative filtering recommendation system based on hadoop is discussed. The respective evaluation of traditional collaborative filtering recommendation algorithm and improved recommendation algorithm by using MAE show that the improved algorithm enhances the recommendation accuracy in a certain extent. Meanwhile, the overall performance experiments show that collaborative filtering recommendation engines continue to reduce the calculation time with the appropriate increase of the virtual machine node.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Computer Information Systems and Industrial Applications
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/cisia-15.2015.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Y.L. Zhang
AU  - M.M Ma
AU  - S.P Wang
PY  - 2015/06
DA  - 2015/06
TI  - Research of User-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop
BT  - International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.17
DO  - https://doi.org/10.2991/cisia-15.2015.17
ID  - Zhang2015/06
ER  -