A Venture Capital Recommendation Algorithm based on Heterogeneous Information Network

  • Sen Wu University of Science and Technology Beijing
  • Huifei Li University of Science and Technology Beijing
  • Lu Liu University of Science and Technology Beijing

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.

References

[1] Chircop, J.; Johan, S.; Tarsalewska, M. (2017). Does religiosity influence venture capital investment decisions?, Social Science Electronic Publishing, 2017.
https://doi.org/10.2139/ssrn.3026156

[2] Dicks, D. L.; Fulghieri, P. (2016). Innovation waves, investor sentiment, and mergers, Social Science Electronic Publishing, 2016.
https://doi.org/10.2139/ssrn.2676854

[3] Feng, X. D.; Wu, S.; Tang, Z. W.; Li, Z. C. (2018). Sparse latent model with dual graph regularization for collaborative filtering, Neurocomputing, 284, 128-137, 2018.
https://doi.org/10.1016/j.neucom.2018.01.011

[4] Jeh, G.; Widom, J. (2003). Scaling personalized web search, In International Conference on World Wide Web, 47, 271-279, 2003.
https://doi.org/10.1145/775152.775191

[5] Jiang, L. (2016). Application Analysis on Internal Rate of Return Rule for Investment Decision, In International Conference on Humanity, Education and Social Science, 2016.
https://doi.org/10.2991/ichess-16.2016.106

[6] Kahng; Minsuk; Lee; Sangkeun; Lee; Sanggoo. (2011). Ranking objects by following paths in entity-relationship graphs, In ACM International Conference on Information and Knowledge Management, 11-18, 2016.
https://doi.org/10.1145/2065003.2065008

[7] Kleinberg, J. M. (1998). Authoritative sources in a hyperlinked environment, Acm-Siam Symposium on Discrete Algorithms, 46, 668-677, 1998.

[8] Lee, S.; Park, S.; Kahng, M.; Lee, S. G. (2012). PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems, In ACM International Conference on Information and Knowledge Management, 1637-1641, 2012.
https://doi.org/10.1145/2396761.2398488

[9] Li, M.; Wu, C. (2016). A distance model of intuitionistic fuzzy cross entropy to solve preference problem on alternatives, Mathematical Problems in Engineering, 8, 1-9, 2016.
https://doi.org/10.1155/2016/8324124

[10] Page, L. (1998). The PageRank citation ranking : Bringing order to the web, Stanford Digital Libraries Working Paper, 9(1), 1-14, 1998.

[11] Shi, C.; Zhou, C.; Kong, X.; Yu, P. S.; Liu, G.; Wang, B. (2012). HeteRecom: a semantic-based recommendation system in heterogeneous networks, In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1552-1555, 2012.
https://doi.org/10.1145/2339530.2339778

[12] Snellman, Carita. Lilian. (2015). University in Knowledge Society: Role and Challenges, Journal of System and Management Sciences, 5(4), 84-113, 2015.

[13] Stone, T.; Zhang, W.; Zhao, X. (2013). An empirical study of top-n recommendation for venture finance, ACM Press, 1865-1868, 2013.
https://doi.org/10.1145/2505515.2507882

[14] Sun, S. L.; Chen, V. Z.; Sunny, S. A.; Chen, J. (2018). Venture capital as an ecosystem engineer for regional innovation in an emerging market, International Business Review, 13-18, 2018.

[15] Sun, Y.; Han, J.; Yan, X.; Yu, P. S.; Wu, T. (2011). PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks, Proceedings of the Vldb Endowment, 4(11), 992- 1003, 2011.

[16] Xu, R.; Chen, H.; Zhao, L. J. (2017). Predicting Corporate Venture Capital Investment, Association for Information Systems, 8, 5841-5849, 2017.

[17] Xu, S. Y.; Raahemi, B. (2016). A semantic-based service discovery framework for collaborative environments, International Journal of Simulation Modelling, 15(1), 83-96, 2016.
https://doi.org/10.2507/IJSIMM15(1)7.326

[18] Zuo, Z.; Shi, F.; Tan, G.; Accounting, S. O. (2017). Does State-owned Venture Capital Play a "Crowding-in" Role? An Empirical Research Based on Certification Mechanism, Journal of Finance & Economics, 43(12), 17-29, 2017.
Published
2020-02-03
How to Cite
WU, Sen; LI, Huifei; LIU, Lu. A Venture Capital Recommendation Algorithm based on Heterogeneous Information Network. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 15, n. 1, feb. 2020. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/1009>. Date accessed: 01 dec. 2020. doi: https://doi.org/10.15837/ijccc.2020.1.3779.

Keywords

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