AUTOMATED CATEGORIZATION OF PRODUCTS IN A MERCHANT CATALOG

摘要

A system and method is described for large-scale, automated classification of products. The system and method receives information about products, wherein such information includes one or more text metadata fields associated with each product, receives a set of categories, and automatically selects one or more categories from the set of categories to which each product belongs based upon at least one of the one or more text metadata fields associated with each product. A machine learning classifier may be used to automatically select the one or more categories to which each product belongs by operating upon a feature vector for each product derived from text metadata fields of the product description. The machine learning classifier may be trained using a set of pre-categorized product descriptions. The product-category associations generated by the system and method can be used to improve search engine results or product recommendations to consumers.

主权项

1. A method implemented on at least one machine having at least one processor, storage, and a communication platform connected to a network, comprising:
receiving information about a product, the information about the product comprising one or more text metadata fields; receiving a set of categories comprising a plurality of classification trees, the plurality of classification trees storing the set of categories in a hierarchical manner; and automatically selecting one or more categories from the set of categories to which the product belongs based upon at least one of the one or more text metadata fields, wherein the product belongs to more than one classification tree among the plurality of classification trees.