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

Linking Multi-Category Purchases to Latent Activities of Shoppers: Analysing Market Baskets by Topic Models
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将多类别购买与购物者的潜在活动联系起来:按主题模型分析市场篮子

DOI:
10.15358/0344-1369_2014_4_267
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发表时间:
2014
期刊:
影响因子:
5
通讯作者:
H. Hruschka
H. Hruschka
中科院分区:
管理学2区
文献类型:
--
作者:
H. Hruschka

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我们研究了潜在狄利克雷分配(LDA)和相关主题模型(CTM)这两种主题模型在购物篮分析中的应用。主题模型通过将每个篮子视为潜在活动的随机组合来衡量观察到的购买与购物者潜在潜在活动之间的关联。我们解释所使用的两个主题模型的结构。我们讨论通过分块吉布斯采样来估计 LDA 模型。此外,我们还展示了如何评估主题模型在估计和保留数据上的性能。在实证研究中,我们分析了一家中型超市总共 18,000 次采购,涉及 60 个产品类别。 LDA 模型在对数似然值方面比 CTM 表现更好。该模型推断的潜在活动是直观且可解释的,例如,与购买饮料或个人护理、烘焙或对奢侈食品的倾向相关。为了说明估计主题模型的管理相关性,我们描绘了推荐系统的核心,该系统根据购物者的购物篮对其他产品类别的购买概率进行排名。
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 used. We discuss estimation of LDA models by blocked Gibbs sampling. In addition we show how to evaluate the performance of topic models on estimation and holdout data. In the empirical study we analyse a total of 18,000 purchases made at a medium-sized supermarket which refer to 60 product categories. The LDA model performs better than the CTM in terms of log likelihood values. Latent activities inferred by this models are intuitive and interpretable, e.g., related to shopping of beverages or personal care, to baking or to an inclination towards luxury food. To illustrate the managerial relevance of estimated topic models we sketch the core of a recommender system which ranks purchase probabilities of other product categories conditional on the basket of a shopper.
DOI: 10.1073/pnas.0307752101
发表时间: 2004-04-06
影响因子: 11.1
作者:
Griffiths, TL;Steyvers, M
通讯作者: Steyvers, M
使用联结混合的市场篮子分析
DOI: --
发表时间: 2011
期刊:
影响因子: --
作者:
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通讯作者: 小林弦矢