Patents by Inventor Vijay Mohanbhai Bambhaniya

Vijay Mohanbhai Bambhaniya has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Automated extraction, inference and normalization of structured attributes for product data
    Patent number: 11481722
    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.
    Type: Grant
    Filed: April 26, 2022
    Date of Patent: October 25, 2022
    Assignee: Hearst Magazine Media, Inc.
    Inventors: Govind Chandrasekhar, Ramanan Balakrishnan, Praveen Sekar, Yashaswini D R, Shiva Sankar Selva Kumar Valsala Kumari, Vijay Mohanbhai Bambhaniya, Srinivasan Kidambi Sridharan, Vinoth Gopinathan, Varun Sivamani, Raj Bhandari, Asmit Kumar, Dinesh Kumar Nalluri
  • AUTOMATED EXTRACTION, INFERENCE AND NORMALIZATION OF STRUCTURED ATTRIBUTES FOR PRODUCT DATA
    Publication number: 20220284392
    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.
    Type: Application
    Filed: April 26, 2022
    Publication date: September 8, 2022
    Inventors: Govind Chandrasekhar, Ramanan Balakrishnan, Praveen Sekar, Yashaswini D R, Shiva Sankar Selva Kumar Valsala Kumari, Vijay Mohanbhai Bambhaniya, Srinivasan Kidambi Sridharan, Vinoth Gopinathan, Varun Sivamani, Raj Bhandari, Asmit Kumar, Dinesh Kumar Nalluri
  • Automated extraction, inference and normalization of structured attributes for product data
    Patent number: 11341170
    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.
    Type: Grant
    Filed: January 10, 2020
    Date of Patent: May 24, 2022
    Assignee: Hearst Magazine Media, Inc.
    Inventors: Govind Chandrasekhar, Ramanan Balakrishnan, Praveen Sekar, Yashaswini D R, Shiva Sankar Selva Kumar Valsala Kumari, Vijay Mohanbhai Bambhaniya, Srinivasan Kidambi Sridharan, Vinoth Gopinathan, Varun Sivamani
  • Automated Extraction, Inference and Normalization of Structured Attributes for Product Data
    Publication number: 20200151201
    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.
    Type: Application
    Filed: January 10, 2020
    Publication date: May 14, 2020
    Inventors: Govind Chandrasekhar, Ramanan Balakrishnan, Praveen Sekar, Yashaswini D R, Shiva Sankar Selva Kumar Valsala Kumari, Vijay Mohanbhai Bambhaniya, Srinivasan Kidambi Sridharan, Vinoth Gopinathan, Varun Sivamani