发明名称 |
ENTITY RESOLUTION INCORPORATING DATA FROM VARIOUS DATA SOURCES |
摘要 |
A pair of records is tokenized to form a normalized representation of an entity represented by each record. The tokens are correlated to a machine learning system by determining whether a learned resolution already exists for the two entities. If not, the normalized records are compared to generate a comparison measure to determine whether the records match. The normalized records can also be used to perform a web search and web search results can be normalized and used as additional records for matching. When a match is found, the records are updated to indicate that they match, and the match is provided to the machine learning system to update the learned resolutions. |
申请公布号 |
WO2016025415(A1) |
申请公布日期 |
2016.02.18 |
申请号 |
WO2015US44543 |
申请日期 |
2015.08.11 |
申请人 |
MICROSOFT TECHNOLOGY LICENSING, LLC |
发明人 |
THOMAS, SATISH J.;CHOWDHURY, MURTAZA MUIDUL HUDA |
分类号 |
G06Q10/10;G06Q30/00 |
主分类号 |
G06Q10/10 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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