Invention Grant
- Patent Title: Predicting computer model accuracy
- Patent Title (中): 预测计算机模型的准确性
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Application No.: US14587624Application Date: 2014-12-31
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Publication No.: US09569727B2Publication Date: 2017-02-14
- Inventor: David Vickrey , Jeffrey William Pasternack
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Fenwick & West LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; H04L12/58 ; G06N99/00

Abstract:
A social networking system receives messages from users that include hashtags. The social networking system may use a natural language model to identify terms in the hashtag corresponding to words or phrases of the hashtag. The words or phrases may be used to modify a string of the hashtag. The social networking system may also generate computer models to determine likely membership of a message with various hashtags. Prior to generating the computer models, the social networking system may filter certain hashtags from eligibility for computer modeling, particularly hashtags that are not frequently used or that more typically appear as normal text in a message instead of as a hashtag. The social networking system may also calibrate the computer model outputs by comparing a test message output with outputs of a calibration group that includes positive and negative examples with respect to the computer model output.
Public/Granted literature
- US20160189045A1 PREDICTING COMPUTER MODEL ACCURACY Public/Granted day:2016-06-30
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