Design TikTok's Recommendation System | ML System Design | #systemdesign

Do you know why TikTok's recommendation algorithm is so good? In this video, we design TikTok's recommendation system. The video covers machine learning aspects of system design where we talk about data, model training and serving.

TikTok' Monolith: Real Time Recommendation System With

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Tags: system design,interview preparation,interviews,software interview,coding interview,programming,gaurav sen,system design interview,grokking the system design interview,cracking the coding interview,sudocode,tiktok,design tiktok

[DevSense]

It will help us stay motivated and we will be able to bring this type of content more often. By being a member, you will also get to attend monthly virtual meetups with our team where you can discuss about machine learning, system design, career growth, motion graphics, and many other things. 🙏

[migueloteropedrido]

Working in the RecSys field myself, it's really really cool to see this quality work. Keep uploading videos like this!

[onyekaokonji]

thank you for making. it offered some good insights. i’ll be reading the referenced paper later.

[prabhatedupuganti]

Thanks for the video on this topic ! It’s crisp and the visuals are perfect for understanding

[YashDarak-zw]

Stumbled across this video because I follow the creator on LinkedIn. Absolutely amazing explanation! ✨

[vipulsarode]

Thank you for the video. It gave me an understanding of the recommendation system architecture I lacked. Thanks!

[pranavsharma]

Great way to demonstrate the overall recommendation system! The animation makes it easy to follow😄

[priyabratamishra]

Insightful. Would love to watch other works like this.

[AB_Bh]

Very well made video. Would love to see more such ML sys design videos in coming days. Kudos to your efforts.

[pavanpandya]

That’s amazing. Got a lot of insights from the video.

[harshkathiriya]

This is awesome! 👏
Really good video to understand the working of TikTok.
Keep it up!👍
Exciting to see more videos like this.

[TusharMahalya]

Great video !
Explained such a complex system in simple terms. Thanks and keep it coming 👍

[raghavsonavane]

Great video and animation. Good job on the work you are doing 👏

[roshnikum_]

It was really amazing and Explanation was too good🔥

[nakunam]

It was incredibly insightful. Thank you!

[kushsuryavanshi]

Very informative, clearly explained workflow and architecture. Keep it up !!

[anishhota]

Thank you for uploading the video. I loved it. I loved the animation and straight-to-the-point explanation. The flow was natural and smooth. Although some terms were alien to me, I am glad you didn't cover them in-depth as it's something that can be googled/ChatGPT-ed. 

Great content, I am looking forward to more videos. I would love to see the basics of ML Sys design and how to approach them.

[rajbhowmick]

Got a lot of insighs from this. Amazing AH.

[manishmandal]

Please have this discussion what is applied machine learning and ML research role and how to identify which one suits you more ??

[consistentthoughts]

Good explanation.

I have one question.

If any user just logged in for the first time, a cold start problem, how will the new user get recommendations. What factors will it consider to get those recommendations.

1. If user didn't allow location then demographic based content also will be missed.

2. After capturing the user accessed content in real time, apart from online training, will it create new embeddings, model training and storage of parameters runs daily and stores the predictions