Why TikTok made its user so obsessive? The AI Algorithm that got you hooked.
Tick Tok is taking the world by storm. According to Sensor Tower, the short video app has been downloaded more than 2 billion times globally on the App Store and Google Play. What’s the magic behind this sensational App that got you so obsessive? Not surprised, the answer is ML backed Recommendation Engine.
Table of Content (Estimated reading time 15 mins)
- General Introduction of TikTok.
- The Archetype of TikTok’s Recommendation System (data, features, objectives, algorithms, and training mechanism)
- TikTok’s recommendation workflow (implementation in real-time, MUST-READ)
OK, let’s be honest here. Who doesn’t like dog antics and funny cat videos? Especially during this grieving period of global lockdown.
But this only explains part of TikTok’s unprecedented success story. In less than 2 years, it went from a “lip-syncing” app in a small fan community to viral App with nearly 800 million active monthly users in 2020. Collectively, TikTok videos tagged with #coronavirus have been watched 53 billion times.
It’s famous for spawning viral songs and funny mime videos.
Typically people spend 52 mins a day on the app, and this daily usage number is 26 mins, 29 mins ad 37 mins for Snapchat, Instagram, and Facebook, respectively.
Apart from the growth hacking strategy, this 60-second short video app is filled with memes, comedy, dancing, and talents. Equipped with one of the best Recommending Engine in the industry, You don’t need to search or know whom to watch. Personalized feed was provided at a click away.
