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Analyzing browsing across websites by machine learning methods

URN to cite this document:
urn:nbn:de:bvb:355-epub-509527
DOI to cite this document:
10.5283/epub.50952
Falke, Andreas ; Hruschka, Harald
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License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 03 Nov 2021 06:23


Abstract

The increasing importance of online distribution channels is paralleled by a rising interest in gaining insights into the customer journey and browsing behavior. We evaluate several machine learning methods (latent Dirichlet allocation, correlated topic model, structural topic model, replicated softmax model) with respect to their ability to reproduce the browsing behavior of households across ...

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