Basic model for ranking microfinance institutions
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918023601848320 |
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| author | Dudukalov, Dmitry Prokopenko, Evgeny |
| author_facet | Dudukalov, Dmitry Prokopenko, Evgeny |
| contents | 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 unavailable. Since we did not find similar datasets in the public domain, we are publishing our dataset with a detailed description of its attributes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_11944 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Basic model for ranking microfinance institutions Dudukalov, Dmitry Prokopenko, Evgeny Information Retrieval Probability Other Statistics 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 unavailable. Since we did not find similar datasets in the public domain, we are publishing our dataset with a detailed description of its attributes. |
| title | Basic model for ranking microfinance institutions |
| topic | Information Retrieval Probability Other Statistics |
| url | https://arxiv.org/abs/2505.11944 |