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Linking Multi-Category Purchases to Latent Activities of Shoppers: Analysing Market Baskets by Topic Models

URN to cite this document:
urn:nbn:de:bvb:355-epub-307478
DOI to cite this document:
10.5283/epub.30747
Hruschka, Harald

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Date of publication of this fulltext: 15 Sep 2014 12:00


Abstract

We investigate the application of two topic models, latent Dirichlet allocation (LDA) and the correlated topic model (CTM), to market basket analysis. Topic models measure the association between observed purchases and underlying latent activities of shoppers by conceiving each basket as random mixture of latent activities. We explain the structure of the two topic models ...

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