A Venture Capital Recommendation Algorithm based on Heterogeneous Information Network

Sen Wu, Huifei Li, Lu Liu

Abstract


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.

Keywords


PathRank, venture capital recommendation, heterogeneous information network, meta path

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References


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DOI: https://doi.org/10.15837/ijccc.2020.1.3779



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