Series · 3 parts
Recommendation Systems From Scratch
Recommendation systems taught the way you'd actually build one: design from initial signals, a concrete worked build, then a teardown of a real large-scale recommendation engine.
- 1Designing a recommendation system from scratchRetrieval vs ranking, candidate generation, freshness vs relevance — the tradeoffs every real recommender lives by.
- 2Learning how to build an recommendation system from initial signalsFrom a few initial adopters of a product, how we can target new set of users who are more likely can use the product
- 3Diving deep into Tiktok recommendation engineGoing deeper into the video rec repo Monolith and paper produced by Bytedance