Basic model for ranking microfinance institutions
Dmitry Dudukalov, Evgeny Prokopenko
本文讨论了在建立聚合器站点产品排名模型时遇到的挑战,使用基于点击后转换的小额信贷机构(MFI)排名的例子。 我们建议应该考虑MFI的哪些特征,并使用基于马尔可夫链的算法,我们在真实数据上展示了这些特征的“有用性”。 这项工作中开发的想法可以应用于小额保险中的聚合网站,特别是当个人数据不可用时。 由于我们在公共领域没有找到类似的数据集,我们正在发布数据集,并详细说明其属性。
This paper discusses the challenges encountered in building a ranking model for aggregator site products, using the example of ranking microfinance institutions (MFIs) based on post-click conversion. We suggest which features of MFIs should be considered, and using an algorithm based on Markov chains, we demonstrate the "usefulness" of these features on real data. The ideas developed in this work can be applied to aggregator websites in microinsurance, especially when personal data is unavailabl...