A Hybrid Recommendation Algorithm Based On SVD And Weighted Slope One

DOI

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.

Copyright

© 2015, 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  - Wenji Zhou
AU  - Qingsong Yu
PY  - 2015/06
DA  - 2015/06
TI  - A Hybrid Recommendation Algorithm Based On SVD And Weighted Slope One
BT  - Proceedings of the International Conference on Management, Computer and Education Informatization
PB  - Atlantis Press
SP  - 54
EP  - 58
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-15.2015.15
DO  - 10.2991/mcei-15.2015.15
ID  - Zhou2015/06
ER  -