Patents by Inventor Juliana Freire de Lima e Silva

Juliana Freire de Lima e Silva 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).

  • Product synthesis from multiple sources
    Patent number: 9384233
    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.
    Type: Grant
    Filed: December 4, 2012
    Date of Patent: July 5, 2016
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ariel Fuxman, Hoa Nguyen, Juliana Freire de Lima e Silva, Stelios Paparizos, Rakesh Agrawal, Zhimin Chen, Lawrence William Colagiovanni, Prakash Sikchi
  • Product synthesis from multiple sources
    Patent number: 8352473
    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.
    Type: Grant
    Filed: April 21, 2010
    Date of Patent: January 8, 2013
    Assignee: Microsoft Corporation
    Inventors: Ariel Fuxman, Hoa Nguyen, Juliana Freire de Lima e Silva, Stelios Paparizos, Rakesh Agrawal, Zhimin Chen, Lawrence William Colagiovanni, Prakash Sikchi
  • PRODUCT SYNTHESIS FROM MULTIPLE SOURCES
    Publication number: 20110264598
    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.
    Type: Application
    Filed: April 21, 2010
    Publication date: October 27, 2011
    Applicant: MICROSOFT CORPORATION
    Inventors: Ariel Fuxman, Hoa Nguyen, Juliana Freire de Lima e Silva, Stelios Paparizos, Rakesh Agrawal, Zhimin Chen, Lawrence William Colagiovanni, Prakash Sikchi