Invention Grant
- Patent Title: Entity- and string-based search using a dynamic knowledge graph
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Application No.: US15849723Application Date: 2017-12-21
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Publication No.: US10762083B2Publication Date: 2020-09-01
- Inventor: Hamed Firooz , Lin Guo
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/2453
- IPC: G06F16/2453 ; G06N20/00 ; G06F16/31 ; G06F16/901

Abstract:
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.
Public/Granted literature
- US20190197158A1 ENTITY- AND STRING-BASED SEARCH USING A DYNAMIC KNOWLEDGE GRAPH Public/Granted day:2019-06-27
Information query