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Comparing unsupervised probabilistic machine learning methods for market basket analysis
16 references·0 citing·47 second hop
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References

  • 2012mirt : A Multidimensional Item Response Theory Package for the R Environment2,709 cited
  • 2015Deep learning applications and challenges in big data analytics2,597 cited
  • 1997Market Segmentation: Conceptual and Methodological Foundations1,866 cited
  • 2016Marketing Analytics for Data-Rich Environments1,255 cited
  • 2011topicmodels : An R Package for Fitting Topic Models1,071 cited
  • 2014Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation774 cited
  • 1999The “Shopping Basket”: A Model for Multicategory Purchase Incidence Decisions478 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2000Analysis of cross category dependence in market basket selection324 cited
  • 2009High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm324 cited
  • 1980Factor Analysis for Categorical Data192 cited
  • 1990Demand Complementarities, Household Production, and Retail Assortments152 cited
  • 2005Models of Multi-Category Choice Behavior143 cited
  • 2010The Effect of Sales Promotions on the Size and Composition of the Shopping Basket: Regulatory Compatibility from Framing and Temporal Restrictions95 cited

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1997
Modeling multiple category brand preference with household basket data
84 cited
  • 2007A combined approach for segment-specific market basket analysis65 cited
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