News aggregation platform Jinri Toutiao held a meeting with engineers from other internet companies yesterday to disclose how Toutiao derived its algorithms (in Chinese) and stressed that the machine doesn’t do all the jobs to recommend news for users.

“We constantly redirect, design, monitor, and manage algorithmic models instead of allowing the machine to make all the decisions,” said Toutiao’s senior engineer Cao Huanhuan at the event. Cao also introduced how the team trained the large-scale online recommendation model and highlighted the fact that Toutiao filters out low-quality and explicit content with its AI recognition technique.

Toutiao’s AI news recommendation system has long been the firm’s core asset to acquire a growing user base and pocket advertiser cash. The system is known for recommending and pushing relevant content to its users based on their behaviors and preferences. The firm even creates fake news to train its anti-fake news AI.

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Timmy Shen

Timmy Shen is a technology reporter based in Beijing. He's passionate about photography, education, food and all things tech. Send tips and feedback to timmyshen@technode.com or follow him on twitter at...