Invention Grant
- Patent Title: Query classification for appropriateness
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Application No.: US15174188Application Date: 2016-06-06
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Publication No.: US10936945B2Publication Date: 2021-03-02
- Inventor: Jose Carlos Almeida Santos , Paul David Arnold , Ward Farquhar Roper , Parth Gupta
- 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
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F16/28 ; G06F16/9535 ; G06F16/9032

Abstract:
Non-limiting examples of the present disclosure describe query classification to identify appropriateness of a query. A query may be received by at least one processing device. A deep neural network (DNN) model may be applied to evaluate the query. A vector representation may be generated for query based on application of the DNN model, where the DNN model is trained to classify queries according to a plurality of categories of appropriateness. The DNN model may be utilized to classify the query in a category of appropriateness based on analysis of the vector representation. In one example, auto-complete suggestions for the query may be filtered based on the classification of the category of appropriateness. In another example, classification of the query may be provided to an entry point. In yet another example, a response to the query is managed based on the classification of the query. Other examples are also described.
Public/Granted literature
- US20170351951A1 QUERY CLASSIFICATION FOR APPROPRIATENESS Public/Granted day:2017-12-07
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