Apr 10 · 6 min read · Building an enterprise-level Machine Learning recommendation system is a multifaceted challenge involving mathematical calibration, data vectorization, and algorithmic efficiency. However, deploying t
Join discussionFeb 6 · 9 min read · Introduction Recommender systems are ubiquitous, assisting us in discovering engaging content, things we find interesting, and even things we didn't know we liked. While you spend time on streaming platforms, you'll notice that the content suggested ...
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Sep 8, 2025 · 3 min read · 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...
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Aug 23, 2025 · 3 min read · 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...
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Aug 17, 2025 · 5 min read · 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 ...
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Aug 16, 2025 · 3 min read · What Are Vector Embeddings? (Explained to My Mom) Imagine trying to explain AI to someone who doesn’t get tech. Think of a huge library filled with books, music, and photos. You want to find similar items – all books about travel, songs with the same...
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Aug 13, 2025 · 5 min read · 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...
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Aug 11, 2025 · 8 min read · 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...
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Aug 7, 2025 · 2 min read · **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...
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Jul 16, 2025 · 3 min read · 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...
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