Solving the Data Sparsity Problem in Predicting the Success of the Startups with Machine Learning Methods
利用机器学习缓解初创企业成功预测中的数据稀疏问题
Predicting the success of startup companies is of great importance for both startup companies and investors. It is difficult due to the lack of available data and appropriate general methods. With data platforms like Crunchbase aggregating the information of startup companies, it is possible to predict with machine learning algorithms. Existing research suffers from the data sparsity problem as most early-stage startup companies do not have much data available to the public.…