Automated extraction, inference and normalization of structured attributes for product data

US11481722B2 · kind B2 · utility

Assignee

• Hearst Magazine Media, Inc. · US

Inventors

• Govind Chandrasekhar · Bengaluru, IN
• Ramanan Balakrishnan · Bengaluru, IN
• Praveen Sekar · Singapore, SG
• Yashaswini D R · Bengaluru, IN
• Shiva Sankar Selva Kumar Valsala Kumari · Bengaluru, IN
• Vijay Mohanbhai Bambhaniya · Bengaluru, IN
• Srinivasan Sridharan · Strongsville, US
• Vinoth Gopinathan · San Francisco, US
• Varun Sivamani · San Francisco, US
• Raj Bhandari · Mountain View, US
• Asmit Kumar · Bengaluru, IN
• Dinesh Kumar Nalluri · Bengaluru, IN

Key dates

• Filing date: Apr 26, 2022
• Grant date: Oct 25, 2022
• Expiry date: Apr 26, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/0831
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automated extraction, inference and normalization of structured attributes for a Product Category Normalizer to access product records from external data sources. The Product Category Normalizer defines a product-description taxonomy of product categories represented by a classification tree. The Product Category Normalizer employs product attribute data and machine learning techniques to analyze the product data of an input product record. Based on the product data of the input product record, the Product Category Normalizer extracts and infers appropriate product data for a relevant product category in the classification tree for the item described by the input product record. The Product Category Normalizer normalizes the product data of the input product record. The Product Category Normalizer provides an output normalized product record related to a product category and product attributes of the classification tree.