System Design AI

Guided practice

Start with a template. Work through each step. Ask Coach when you need a second opinion.

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110. Design a Video Recommendation System
Choose 20 videos out of 10 million for 100 million daily users: implicit labels, two-tower retrieval, a multi-task ranker, bias and exploration.
ClassicMedium
Machine learning AWS Ranking
+1
Recommendations
Worked design
Practice
139. Design Similar Listings for a Vacation Rental Platform
Pick 12 homes a guest could book instead, from listing embeddings learned on browsing sessions, filtered by dates and party size, then ranked.
ClassicMedium
Machine learning AWS Embeddings
+3
Marketplace Recommendations Retrieval
Worked design
Practice
140. Design People You May Know
Suggest people a member knows out of a billion: bounded friends of friends, affiliations and contacts, two ranking heads, GNN embeddings, privacy and abuse.
ClassicMedium
Machine learning AWS Graph ML
+2
Link prediction Recommendations
Worked design
Practice
141. Design Personalized News Feed Ranking
Order each home feed so the time is worth it: candidate sources, a multi-task ranker and value model, integrity re-ranking and feedback loops.
ClassicMedium
Machine learning AWS Multi task
+2
Ranking Recommendations
Worked design
Practice
142. Design an Event Recommendation System
Rank upcoming events when every event is new and expires: geo and time candidates, live features, calibrated ranking, a two-sided market.
ClassicMedium
Machine learning AWS Geospatial
+2
Ranking Recommendations
Worked design
Practice

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