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Day 38 of learning system design
🤖 Instagram uses a ML-based comment ranking system instead of chronological order
• 📊 Every comment gets a relevance score based on predicted engagement probability
• ⚡ Celebrity comments generate very high early engagement velocity (likes/replies per minute)
• 🧠 The model already has strong historical data for famous accounts, so prediction confidence is higher
• 🌐 High-follower accounts have stronger graph centrality inside the social network
• 👥 The system predicts more users will pause, like, or reply when they see recognizable accounts
• 🔥 Rapid interaction creates a positive feedback loop that boosts ranking further
• ✅ Verified/high-authority accounts usually have higher trust & quality signals internally
• 📈 Ranking models optimize for retention, interaction time, and conversation depth
• 💬 Celebrity comments often create large reply threads, increasing thread-quality score
• 🎯 Final ranking is personalized based on your follows, interactions, and interest graph
Видео Day 38 of learning system design канала the.tech.yogi_
• 📊 Every comment gets a relevance score based on predicted engagement probability
• ⚡ Celebrity comments generate very high early engagement velocity (likes/replies per minute)
• 🧠 The model already has strong historical data for famous accounts, so prediction confidence is higher
• 🌐 High-follower accounts have stronger graph centrality inside the social network
• 👥 The system predicts more users will pause, like, or reply when they see recognizable accounts
• 🔥 Rapid interaction creates a positive feedback loop that boosts ranking further
• ✅ Verified/high-authority accounts usually have higher trust & quality signals internally
• 📈 Ranking models optimize for retention, interaction time, and conversation depth
• 💬 Celebrity comments often create large reply threads, increasing thread-quality score
• 🎯 Final ranking is personalized based on your follows, interactions, and interest graph
Видео Day 38 of learning system design канала the.tech.yogi_
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18 ч. 25 мин. назад
00:00:07
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