US 2014/0156347 A1 · Enhanced Market Basket Analysis

Abstract

The current subject matter describes a generation of a score based on an enhanced market basket analysis (eMBA). An eMBA model can receive historical data characterizing historical purchases of a plurality of products over a specified time-period. In response, the eMBA model can generate baskets, which can include data that is causal and predictive. The generated baskets can be provided as an input to a group generator. The group generator can then generate product groups and confidence values. The product groups and confidence values can be provided to a score generator. In run-time, the score generator can receive current product data, and in return, can use the product groups and confidence values to generate a score. The score can characterize a likelihood of a purchase of the product by a corresponding customer associated with the product group. Related methods, apparatuses, systems, techniques and articles are also described.

Claims30

Dependent claims

A computer-implemented method comprising:

receiving data characterizing a product available for purchase;
associating the product with at least one subgroup including the product, the at least one subgroup being at least one of a plurality of groups of historical products that have been shown to be frequently purchased together, each subgroup being associated with one or more confidence values, the data characterizing the groups including causal statuses of the historical products;
generating, using the one or more confidence values, a score characterizing a likelihood of a purchase of the product by a corresponding customer associated with the at least one subgroup;
and
providing data characterizing the score.

2 more elements

A non-transitory computer program product storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

generating, based on historical data collected over a time-period, baskets characterizing products purchased by a customer within the time-period, the historical data characterizing historical purchases between customers and merchants;
forming, using the baskets, groups of products that are frequently purchased together by a customer;
generating one or more confidence values associated with each group of products, each confidence value characterizing a corresponding likelihood of a purchase of at least one product of the corresponding group subsequent to a purchase of other co-occurring products of the group, the one or more confidence values for each group being used to generate a score for a customer based on a product available for purchase, the score characterizing a likelihood of a purchase of the available product by the customer.

Dependencies are inferred from the claim text.

Enhanced Market Basket Analysis

Life of this patent

Enhanced Market Basket Analysis

Life of this patent

Abstract

Claims30