Build better search, ads and recommender systems that drive product goals and benefits for all parties in the ecosystem.


This is a place for practitioners in search and recommender systems to come and share ideas with each other. We want to build this as a journal like NeurIPS where the best ideas are championed. Join our Discord server here to participate.


Authors of this publication have built zero-to-one search and recommender systems including podcast recommendations at Google. They are trying to share their practical experiences and knowledge in the hopes that it is more widely useful.

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State of the art advances in applied machine learning with a focus on recommender systems


Gaurav Chakravorty

- Applied ML in Recommender systems (Discord, Google, Waymo) and High Frequency - Entrepreneur ex-(DevRev, Qplum, Tower Research, Circulum Vite).