A Venture Capital Recommendation Algorithm based on Heterogeneous Information Network
A Venture Capital Recommendation Algorithm based on Heterogeneous Information Network
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DOI：
10.15837/ijccc.2020.1.3779
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发表时间：
2020-02
期刊：
影响因子：
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通讯作者：
Sen Wu;Huifei Li;Lu Liu
中科院分区：
文献类型：
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作者：
Sen Wu;Huifei Li;Lu Liu
根据风险投资的特点，可以将其描述为一个典型的异构信息网络，它包括多种节点和各种关系。借鉴PathRank算法，提出一种基于异构信息网络的创业项目推荐算法VC-Recom，帮助投资公司找到合适的创业项目。此外，实验结果表明，该算法可以产生更有效的推荐结果的投资公司相比，其他方法。
According to its characteristics, venture capital can be described as a typical heterogeneous information network, which includes multiple kinds of nodes and various relations. Getting hints from PathRank algorithm, this paper proposes VC-Recom, a recommendation algorithm based on heterogeneous information network, which helps investment companies find suitable startup projects. Besides, the experimental results show that the proposed algorithm can produce more effective recommendation results for investment firms compared with other methods.