Co-authors: James Verbus and Beibei Wang The Anti-Abuse AI Team at LinkedIn creates, deploys, and maintains models that detect and prevent many types of abuse, including the creation of fake accounts, member profile scraping, automated spam, and account takeovers. As we prevent abuse using machine learning, there are several challenges we can face: Maximizing...
artificial intelligence Articles
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Co-authors: Kirill Talanine, Jeffrey D. Gee, Rohan Ramanath, Konstantin Salomatin, Gungor Polatkan, Onkar Dalal, and Deepak Kumar Introduction A common challenge for production machine learning systems is reacting to change. The world can change quickly, particularly on a social network. This can range from sweeping changes at the scale of the whole economy...
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Co-authors: Kinjal Basu, Yao Pan, Rohan Ramanath, Konstantin Salomatin, Amol Ghoting, and S. Sathiya Keerthi Building thriving internet or web products requires optimizing for multiple business metrics. In many applications, these business metrics can move in conflicting directions, and delicately balancing these tradeoffs can be vital for the success of a...
- Topics:
- artificial intelligence,
- scale,
- machine learning,
- Open Source
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Co-authors: Qiannan Yin, Yan Wang, Divya Venugopalan, Cyrus Diciccio, Heloise Logan, Preetam Nandy, Kinjal Basu, and Albert Cui...
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Co-authors: Keqiu Hu, Jonathan Hung, and Junfan Zhang Today, TonY is joining the LF AI & Data Foundation, an umbrella foundation of...
- Topics:
- artificial intelligence,
- Hadoop,
- machine learning,
- Open Source
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Co-authors: Rajeev Kumar, Dhritiman Das, Saatwik Nagpal, Shubham Gupta, and Vikram Singh At LinkedIn, we leverage AI to provide a...