© 2026 Hashnode
An important problem in causal inference involves offline evaluation of policies i.e. algorithms for delivering personalized actions. The most popular estimators for this use historical data of contexts, the probabilities of past actions (propensitie...

DIN is published by Alibaba and Taobao in KDD’2018. The paper mentions that DIN was successfully deployed in the online display advertising system in Alibaba, serving the main traffic. Full Paper: Deep Interest Network for Click-Through Rate Predicti...

In the ever-changing world of cryptocurrency, access, and the proper tools can make all the difference between success and failure. Binance, one of the leading cryptocurrency exchanges in the world, has become a favorite among traders looking to buy ...

Ever wondered how your phone seems to understand what you’re searching for, even when you type something vague? Or how music streaming services create playlists that perfectly match your mood? The secret behind much of this digital magic is a concept...

You've spent three months trying to build a recommendation system, burned through your ML budget, and still can't figure out why your "state-of-the-art" embeddings perform worse than random suggestions. This scenario plays out daily across tech compa...

**In today’s fast-paced digital world, social media presence is key to standing out. Twitter, with its real-time updates and vast user base, has become a crucial platform for brands and influencers alike. But starting from scratch can be daunting. Im...

If you've ever bought something on Amazon, watched a movie on Netflix, or scrolled through TikTok, you've already experienced recommender systems. But how do these systems actually work? And what’s behind the suggestions they give you? In this articl...
