Publication: Recommending investors for new startups by integrating network diffusion and investors’ domain preference
Recommending investors for new startups by integrating network diffusion and investors’ domain preference
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Xu, S., Zhang, Q., Lü, L., & Mariani, M. (2020). Recommending investors for new startups by integrating network diffusion and investors’ domain preference. Information Sciences, 515, 103–115. https://doi.org/10.1016/j.ins.2019.11.045
Abstract
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Over the past decade, many startups have sprung up, which create a huge demand for financial support from venture investors. However, due to the information asymmetry between investors and companies, the financing process is usually challenging and time-consuming, especially for the startups that have not yet obtained any investment. Because of this, effective data-driven techniques to automatically match startups with potentially relevant investors would be highly desirable. Here, we analyze 34,469 valid investment events collected f
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- Xu, Shuqi
- Zhang, Qianming
- Lü, Linyuan
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Citations
Xu, S., Zhang, Q., Lü, L., & Mariani, M. (2020). Recommending investors for new startups by integrating network diffusion and investors’ domain preference. Information Sciences, 515, 103–115. https://doi.org/10.1016/j.ins.2019.11.045
