Table of contents The product page A naive (yet effective) algorithm. Product To Vectors Product Graphs Putting it all together - Personalization, Utility and Rules Pitfalls in Evaluat...

Buying stuff without actually stepping out is one of those things that has radically changed all our lives. In this post , I want to dig deeper into how recommendations power online shopping. There...

Last time we looked at how to best utilize a GPU when training Deep Learning models. Now it is time to put that to use and build a model that can tell apart the bewilderingly similar looking specie...

The last couple of weeks, I have been playing around with data from my favorite app, iNaturalist. The good folks there, have released a dataset with 2.6M images of 10,000 species of assorted beasts...

Welcome to the fourth post in the How Ads work series. Now it’s time to earn some money and sell ads ! This will be a short post and my goal in this post is to outline the basic mechanics of how th...

Welcome to  the third post in the How Ads work series. In this post we are going to discuss Ads Ranking in depth. This is where ML really comes to the party! At the end of Ads Retrieval, we have a ...

In the last post we looked at an overview of the entire Ads system. In this post we will talk about Retrieval in depth. To recap, in Retrieval the goal is to cast a wide net over the entire Ads Ind...

Whether you’re searching for a new restaurant, scrolling through your social media or just getting laughs watching cat videos you have ads to thank for sponsoring this experience. When ads are good...