Product synthesis from multiple sources

US9384233B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Ariel Fuxman · San Jose, US
• Hoa Nguyen · Cerritos, US
• Juliana Freire de Lima e Silva · Salt Lake City, US
• Stelios Paparizos · Mountain View, US
• Rakesh Agrawal · San Jose, US
• Zhimin Chen · Zhejiang, CN
• Lawrence William Colagiovanni · Issaquah, US
• Prakash Sikchi · Issaquah, US

Key dates

• Filing date: Dec 4, 2012
• Grant date: Jul 5, 2016
• Expiry date: Feb 11, 2033

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0603
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Methods and systems for automatically synthesizing product information from multiple data sources into an on-line catalog are disclosed, and in particular, for automatically synthesizing the product information based on attribute-value pairs. Information for a product may be obtained, via entity extraction, feed ingestion, and other mechanisms, from a plurality of structured and unstructured data sources having different taxonomies and schemas. Product information may additionally or alternatively be obtained or derived based on popularity data. The product information may be cleansed, segmented and normalized. The product information may be clustered so closest products, attribute names and attribute values are associated. A representative value for an attribute name may be determined, and the on-line catalog may be updated so that entries are comprehensive, meaningful and useful to a catalog user. Updates from at least 500 million different data sources may be scheduled to occur as frequently as several times daily.