Applied ML | Recommender systems

How to build ML-first products

Recommendations using graph neural networks

Fairness in ranking

Old-Search ~ training wheels of Neural-Search

A common mistake when using embeddings in ML applications

Logging | How to build self-learning search and recommender systems

How to prevent ML models from becoming stale

Personalized short-video recommender systems

Using online learning in short-video recommendations

Sampling : the secret of how to train good embeddings

Give new creators a fair shot (through recommender systems)

ML Design Interview | Design a short-video platform Part 2