Proceedings of the International Conference on Management, Computer and Education Informatization

A Hybrid Recommendation Algorithm Based On SVD And Weighted Slope One

Authors
Wenji Zhou, Qingsong Yu
Corresponding Author
Wenji Zhou
Available Online June 2015.
DOI
https://doi.org/10.2991/mcei-15.2015.15How to use a DOI?
Keywords
SVD; Slope-One; Recommendation Algorithm; Collaborative Filtering
Abstract
With the arrival of the era of big data, recommendation algorithm has become a hot research field in internet life and social business. However, the traditional recommendation algorithms have problems of cold start, scoring matrix data sparse, affecting the accuracy of recommendation. This paper proposes a hybrid recommendation algorithm based on the SVD (singular value decomposition) and Slope One algorithm, experiments results show that the algorithm proposed by this paper has superior performance compared with the traditional collaborative filtering recommendation algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Management, Computer and Education Informatization
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-6252-118-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-15.2015.15How 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  - Wenji Zhou
AU  - Qingsong Yu
PY  - 2015/06
DA  - 2015/06
TI  - A Hybrid Recommendation Algorithm Based On SVD And Weighted Slope One
BT  - International Conference on Management, Computer and Education Informatization
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-15.2015.15
DO  - https://doi.org/10.2991/mcei-15.2015.15
ID  - Zhou2015/06
ER  -