- 专利标题: AUTOMATED EXTRACTION, INFERENCE AND NORMALIZATION OF STRUCTURED ATTRIBUTES FOR PRODUCT DATA
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申请号: US17660756申请日: 2022-04-26
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公开(公告)号: US20220284392A1公开(公告)日: 2022-09-08
- 发明人: 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
- 申请人: Hearst Magazine Media, Inc.
- 申请人地址: US NY New York
- 专利权人: Hearst Magazine Media, Inc.
- 当前专利权人: Hearst Magazine Media, Inc.
- 当前专利权人地址: US NY New York
- 主分类号: G06Q10/08
- IPC分类号: G06Q10/08 ; G06F16/25 ; G06N20/00 ; G06F7/14
摘要:
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.
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