Explainer: What is so special about TikTok's technology

HONG KONG, April 26 - The content recommendation algorithm that powers the online short video platform TikTok has once again come under the spotlight after the U.S.

While rivals have similar interest-based algorithms, TikTok is able to turbocharge the algorithm's effectiveness with the short video format, said Catalina Goanta, an associate professor at Utrecht University. "Because it's in bite size format, it is short video, you're able to collect data about a user's preference a lot faster than YouTube, where maybe the average video is just less than 10 minutes long," he said, "Imagine you're collecting data about a user on average every 10 minutes versus every couple seconds.

"This finding indicates that the TikTok algorithm opts to recommend a large number of explore videos in an attempt to either infer better the user interests or maximise user retention by recommending many videos that are outside of the user's interests," the researchers wrote in the paper named "TikTok and the Art of Personalization".

In turn, Douyin's AI was supercharged by the company's ability to leverage low labour costs in China that saw it hire many content annotators to painstakingly tag all the content and users on the platform.

Source: Tech Daily Report (techdailyreport.net)

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