A vertex similarity index for better personalized recommendation
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- 作者：Ling-Jiao Chena ; b ; Zi-Ke Zhangc ; Jin-Hu Liua ; b ; Jian Gaoa ; b ; gaojian08@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Tao Zhoua ; b
- 关键词：Vertex similarity ; Recommender systems ; Personalized recommendations ; Information filtering
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2017
- 出版时间：15 January 2017
- 年：2017
- 卷：466
- 期：Complete
- 页码：607-615
- 全文大小：3496 K
文摘
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A vertex similarity index CosRA is proposed, which combines both advantages of cosine index and resource-allocation index.
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Results on real rating data suggest the overall better performance of CosRA-based recommendation method.
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Further experiments show that CosRA index is parameter-free with a significant advantage in real applications.
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