A Hybrid Recommendation Algorithm Based On SVD And Weighted Slope One
Wenji Zhou, Qingsong Yu
Available Online June 2015.
- https://doi.org/10.2991/mcei-15.2015.15How to use a DOI?
- SVD; Slope-One; Recommendation Algorithm; Collaborative Filtering
- 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.
- 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 PB - Atlantis Press SP - 54 EP - 58 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 -