Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm
作者：
Highlights：
• Intelligent link prediction algorithm is developed to overcome network sparsity problem.
• Attention allocation indices are built for the node pair in different circles.
• Decision tree model is developed to select suitable indices for specific network.
• Support vector machine is used to find complementary indices of the suitable index.
• Composite algorithm is constructed by integrating mutually complementary indices.
摘要
•Intelligent link prediction algorithm is developed to overcome network sparsity problem.•Attention allocation indices are built for the node pair in different circles.•Decision tree model is developed to select suitable indices for specific network.•Support vector machine is used to find complementary indices of the suitable index.•Composite algorithm is constructed by integrating mutually complementary indices.
论文关键词：Friend recommendation,Link prediction,AAI,Mutually complementary indices,Cross marketing
论文评审过程：Received 17 August 2018, Revised 24 July 2019, Accepted 24 July 2019, Available online 25 July 2019, Version of Record 30 July 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112839
