Invention Grant
- Patent Title: Online active learning in user-generated content streams
-
Application No.: US16729813Application Date: 2019-12-30
-
Publication No.: US11575632B2Publication Date: 2023-02-07
- Inventor: Wei Chu , Martin Zinkevich , Lihong Li , Achint Oommen Thomas , Belle Tseng
- Applicant: Oath Inc.
- Applicant Address: US NY New York
- Assignee: Oath Inc.
- Current Assignee: Oath Inc.
- Current Assignee Address: US NY New York
- Agency: Cooper Legal Group LLC
- Main IPC: H04L12/58
- IPC: H04L12/58 ; G06N5/02 ; H04L51/212 ; G06F15/16 ; G06F11/00 ; 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.
Information query