Recommendation engine for the TikTok Shop landing page
Recommendation engine that ranks which products a shopper sees first. +129% GMV.
A recommendation engine that decides which products to surface, and in what order, on the landing page of TikTok Shop.
When a shopper lands on the page, the platform has milliseconds to decide which products greet them. Getting that decision right is the difference between a purchase and a bounce. This engine replaced the previous one on that surface and moved much more revenue through it.
A deep-learning ranking model trained and served on ByteDance's internal cloud at production scale. The pipeline covered feature engineering, candidate generation, model training, and low-latency online serving, validated through online A/B testing against the prior baseline.
Co-built as part of the Algorithm team at ByteDance.
Want the full technical depth, the tradeoffs, what broke, what I'd do differently? Ask the agent about this project.