User segmentation in online advertising using latent Dirichlet allocation
Articles
Darius Aliulis
Kauno technologijos universitetas
Vytautas Janilionis
Kauno technologijos universitetas
Published 2015-12-20
https://doi.org/10.15388/LMR.B.2015.01
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Keywords

latent Dirichlet allocation
Bayesian method
big data analytics
user segmentation
online advertising

How to Cite

Aliulis D. and Janilionis V. (2015) “User segmentation in online advertising using latent Dirichlet allocation”, Lietuvos matematikos rinkinys, 56(B), pp. 1–6. doi: 10.15388/LMR.B.2015.01.

Abstract

User segmentation is one the most important problems in online advertiting. The use of online latent Dirichlet allocation model for analysing big datasets for this purpose is proposed in this paper. The relationship between the number of segments and segmentation quality metrics is analized and criteria for assigning ads to user segments are proposed.

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