An empirical study of top-n recommendation for venture finance

摘要: This paper concerns the task of top-N investment opportunity recommendation in domain venture finance. By finance, specifically, we are interested activity capital (VC) firms and their partners. We have access to a dataset recorded financings (i.e., investments) by VCs partners private US companies. research was undertaken partnership with Correlation Ventures, firm who pioneering use predictive analytics order better inform decision making. undertakes detailed empirical study data analysis then demonstrates efficacy recommender systems this novel application domain.