发明名称 |
DEEP MINING OF NETWORK RESOURCE REFERENCES |
摘要 |
Architecture for deep mining of network resource references such as URLs. The architecture includes an extraction component configured to extract useful entity information from a collection of entity information, the collection of entity information derived from local search data; a distributed processing component configured to distributively query a search engine using the useful entity information and receive search results from the search engine, the search results comprising resource references; and, a selection component configured to remove non-relevant resource references to obtain candidate resource references and select a top resource reference from the candidate resource references, using an unsupervised machine learning algorithm. |
申请公布号 |
US2016267183(A1) |
申请公布日期 |
2016.09.15 |
申请号 |
US201615003771 |
申请日期 |
2016.01.21 |
申请人 |
Microsoft Technology Licensing, LLC |
发明人 |
Tan Ming;Liu Like;Ou Qiong |
分类号 |
G06F17/30;G06N99/00 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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主权项 |
1. A system, comprising:
a memory device, and at least one hardware processor configured to execute computer-executable instructions stored in the memory device that enable computer-executable components, the computer-executable components comprising:
an extraction component configured to extract a set of entity information from a collection of entity information, the collection of entity information derived from local search data;a distributed processing component configured to query a search engine using the set of entity information and receive search results from the search engine, the search results comprising resource references; anda selection component configured to remove non-relevant resource references to obtain candidate resource references and select a top resource reference from the candidate resource references using an unsupervised machine learning algorithm. |
地址 |
Redmond WA US |