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arXiv · 2104.01440

COHORTNEY: Non-Parametric Clustering of Event Sequences

Vladislav Zhuzhel·Rodrigo Rivera-Castro·Nina Kaploukhaya·Liliya Mironova·Alexey Zaytsev·Evgeny Burnaev
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Abstract

Cohort analysis is a pervasive activity in web analytics. One divides users into groups according to specific criteria and tracks their behavior over time. Despite its extensive use, academic circles do not discuss cohort analysis to evaluate user behavior online. This work introduces an unsupervised non-parametric approach to group Internet users based on their activities. In comparison, canonical methods in marketing and engineering-based techniques underperform. COHORTNEY is the first machine learning-based cohort analysis algorithm with a robust theoretical explanation.

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Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev. 2021-04-03. COHORTNEY: Non-Parametric Clustering of Event Sequences. https://arxiv.org/abs/2104.01440

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