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FSFahad Shahrisingwave.comApr 7 · 13 min read

Frequently Bought Together: Build Amazon-Style Recommendations with Streaming SQL

{ "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is 'Frequently Bought Together' and how does it work?", "acceptedAnswer": { "@type": "Answer", "t...

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FSFahad Shahrisingwave.comApr 7 · 18 min read

Real-Time Collaborative Filtering: Build User-Based and Item-Based Systems in SQL

{ "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is collaborative filtering?", "acceptedAnswer": { "@type": "Answer", "text": "Collaborative filte...

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ADAmoy Duttablogs-amoydutta.hashnode.devFeb 10 · 8 min read

Explainable Recommendations in Practice: A Demo-Driven Approach

This blog complements my earlier post on AI-based explainability (xAI) for recommendation systems and the corresponding Movie Recommendations App. While demo apps should ideally speak for themselves, explainable systems often benefit from guided cont...

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OOOluwaseyi Ogunnowodataking.hashnode.devFeb 6 · 9 min read

How to Build A Movie Recommendation System

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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SKSupriya Kadam Daberaoruhmani.comSep 15, 2025 · 9 min read

Explaining Vector Embeddings to My Mom 👩‍🍳. Just Recipes & a Smart Fridge 🤖

Trying to explain AI to my mom led to the perfect analogy 👩💻👩🍳…Armed with her recipe box and a smart fridge 🍗🍋🧊, I turned tech jargon into kitchen magic. Me: Mom, got a sec? I need your help with my AI project. 🧠🤖 Mom: My help? With coding? ...

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PJPraise Jamesfreecodecamp.orgFeb 25, 2025 · 8 min read

What is the Cold Start Problem in Recommender Systems?

Recommender systems are used to provide personalized experiences for customers in many industries today, including e-commerce, social media, entertainment, and education. These recommender systems make recommendations based on user preferences and co...

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VKVirendrasinh Khumanvirendrasinh.hashnode.devOct 15, 2023 · 12 min read

Building A Hybrid Book Recommender System: Combining Collaborative Filtering With Content-Based Recommendations, Using Web Scraping And Logging

In this blog, we delve into the world of book recommender systems, uncovering a powerful solution that combines the strengths of collaborative filtering and content-based recommendations. Harnessing the potential of web scraping and logging for data ...

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RMRohit Mehrareco.hashnode.devDec 27, 2022 · 4 min read

Recommendation Systems Overview

Explicit v.s. Implicit ratings Two ways to gather user preference data to recommend items, Ask for explicit ratings from a user, on a rating scale (such as rating a movie from one to five stars). The drawback is it puts the responsibility of data co...

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Trending tags this week

Frequently Bought Together: Build Amazon-Style Recommendations with Streaming SQL

Real-Time Collaborative Filtering: Build User-Based and Item-Based Systems in SQL

Explainable Recommendations in Practice: A Demo-Driven Approach

How to Build A Movie Recommendation System

Explaining Vector Embeddings to My Mom 👩‍🍳. Just Recipes & a Smart Fridge 🤖

What is the Cold Start Problem in Recommender Systems?

Building A Hybrid Book Recommender System: Combining Collaborative Filtering With Content-Based Recommendations, Using Web Scraping And Logging

Recommendation Systems Overview