Patent ID: 11948179
Assignee: WALMART APOLLO, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. The system of claim 1, wherein training the product-type embedding Gaussian mixture distributions for the items further comprises, for an product-type pair of the product-type pairs:
retrieving respective Gaussian mixture representations of each product type of the product-type pair;
determining a non-personalized product-type complementarity metric at a global level between each product type of the product-type pair using a probability product kernel with a non-personalized component weight;
determining a personalized product-type complementarity metric at an individual level between each product type of the product-type pair using the probability product kernel with a personalized component weight; and
generating loss functions based on the non-personalized product-type complementarity metric and the personalized product-type complementarity metric.