A Cross Cluster-Based Collaborative Filtering Method for Recommendation
文献类型：会议论文
| 作者 | Ming Gao; Fuyuan Cao; Huang, J.Z. |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference on Information and Automation, ICIA 2013 |
| 会议地点 | Yinchuan, China |
| 英文摘要 | As the clustering-based model has better scalability than typical collaborative filtering methods, it has become one of the most successful approaches for recommender systems. However, since clustering-based algorithms often result in nearby users being divided into different clusters, they only recommend items being rated by users belonging to the same cluster with the active user, and recommendation opportunities are missed for some users because of the loss of nearby users. In this paper, we propose a cross cluster-based method to take more recommendation opportunities by considering nearby users through merging of neighbors in user clusters. We define an associate degree to find the neighboring clusters. Experimental results on real data sets have shown that the proposed method can improve the accuracy of recommendation. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4974]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Ming Gao,Fuyuan Cao,Huang, J.Z.. A Cross Cluster-Based Collaborative Filtering Method for Recommendation[C]. 见:2013 IEEE International Conference on Information and Automation, ICIA 2013. Yinchuan, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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