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Hidden Variable Models for Market Basket Data. Statistical Performance and Managerial Implications

URN to cite this document:
urn:nbn:de:bvb:355-epub-349949
DOI to cite this document:
10.5283/epub.34994
Hruschka, Harald
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Date of publication of this fulltext: 19 Dec 2016 12:28


Abstract

We compare the performance of several hidden variable models, namely binary factor analysis, topic models (latent Dirichlet allocation, correlated topic model), the restricted Boltzmann machine and the deep belief net. We shortly present these models and outline their estimation. Performance is measured by log likelihood values of these models for a holdout data set of market baskets. For each ...

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