发明申请
US20130111005A1 Online Active Learning in User-Generated Content Streams 有权
用户生成的内容流中的在线主动学习

Online Active Learning in User-Generated Content Streams
摘要:
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.
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