Coffee Sessions #123

RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day

FunCorp’s iFunny app was one of the top 10 most popular entertainment apps in the US. It is still a very popular app that has a ton of downloads and just memes. They need a recommendation system on top of that. Memes are super tricky because they're user-generated and they evolve very quickly. They're going to live and die by the Recommender System in that product. It's incredible to see FunCorp's maturity. Gleb breaks down the feature store they created and the velocity they have to be able to create a whole new pipeline in a new model and put it into production after only a month!

Take-aways

It's possible to do great things with a small team of competent engineers / data scientists.

In this episode

Gleb Abroskin

Gleb Abroskin

ML Engineer, FunCorp

Gleb make models go brrrrr. He doesn't know what is expected in this field, to be honest, but Gleb has experience in deploying a lot of different ML models for CV, speech recognition, and RecSys in a variety of languages (C++, Python, Kotlin) serving millions of users worldwide.

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.

Jake Noble

Jake Noble

Host

Jake is a tech lead on the Product Engineering team at Tecton. Before Tecton, Jake worked at YouTube on Homepage recommendations and client infrastructure for six years.