- 专利标题: Entity- and string-based search using a dynamic knowledge graph
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申请号: US15849723申请日: 2017-12-21
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公开(公告)号: US10762083B2公开(公告)日: 2020-09-01
- 发明人: Hamed Firooz , Lin Guo
- 申请人: Microsoft Technology Licensing, LLC
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人地址: US WA Redmond
- 代理机构: Schwegman Lundberg & Woessner, P.A.
- 主分类号: G06F16/2453
- IPC分类号: G06F16/2453 ; G06N20/00 ; G06F16/31 ; G06F16/901
摘要:
Techniques for performing a database search using a rewritten and annotated query are disclosed herein. In example embodiments, a profile lexicon is generated from a set of raw user profiles. A click-through lexicon is generated from a raw query log. A machine-learning model is trained for entity prediction using selected data. Query tagger data is generated using the profile lexicon, the click-through lexicon, and the machine-learning model. A raw query is received. The raw query is rewritten as an annotated query based on the generated query tagger data. A search of a database is performed using the annotated query. Results of the search are returned in response to the receiving of the raw query for presentation in a user interface.
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