Invention Grant
- Patent Title: Online active learning in user-generated content streams
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Application No.: US13282285Application Date: 2011-10-26
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Publication No.: US09967218B2Publication Date: 2018-05-08
- Inventor: Wei Chu , Martin Zinkevich , Lihong Li , Achint Oommen Thomas , Belle Tseng
- Applicant: Wei Chu , Martin Zinkevich , Lihong Li , Achint Oommen Thomas , Belle Tseng
- Applicant Address: US NY New York
- Assignee: Oath Inc.
- Current Assignee: Oath Inc.
- Current Assignee Address: US NY New York
- Agency: Martine Penilla Group, LLP
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06N5/02 ; G06F11/00 ; H04L12/58 ; G06N7/00 ; G06Q50/20

Abstract:
Software for online active learning receives content posted to an online stream at a website. The software converts the content into an elemental representation and inputs the elemental representation into a probit model to obtain a predictive probability that the content is abusive. The software also calculates an importance weight based on the elemental representation. And the software updates the probit model using the content, the importance weight, and an acquired label if a condition is met. The condition depends on an instrumental distribution. The software removes the content from the online stream if a condition is met. The condition depends on the predictive probability, if an acquired label is unavailable.
Public/Granted literature
- US20130111005A1 Online Active Learning in User-Generated Content Streams Public/Granted day:2013-05-02
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