CPC G06F 16/958 (2019.01) [G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01)] | 20 Claims |
1. A method comprising:
training a machine learning (ML) model on a corpus of product information to generate a first product category tree;
receiving, by a computing device, information about a product from another computing device;
determining, by the computing device, one or more relevant features from the information about the product, the one or more relevant features influencing prediction of a sequence number;
generating, by the computing device using the ML model, a prediction of a sequence number for the product based on the determined one or more relevant features, the sequence number being indicative of a sequencing of the product within a sequence of a plurality of products in the first product category tree; and
generating, by the computing device by updating the first product category tree, a second product category tree which includes the sequencing of the product within the sequence of the plurality of products based on the predicted sequence number for the product.
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