1d ago · 15 min read · { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is a real-time recommendation system in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "A...
Join discussion
1d ago · 14 min read · { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What are semantic recommendations?", "acceptedAnswer": { "@type": "Answer", "text": "Semantic recommen...
Join discussion
1d ago · 13 min read · { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is 'Frequently Bought Together' and how does it work?", "acceptedAnswer": { "@type": "Answer", "t...
Join discussion
1d ago · 18 min read · { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is collaborative filtering?", "acceptedAnswer": { "@type": "Answer", "text": "Collaborative filte...
Join discussion
1d ago · 17 min read · { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is a real-time recommendation system?", "acceptedAnswer": { "@type": "Answer", "text": "A real-ti...
Join discussion
Feb 3 · 4 min read · 这篇文章记录我在 Taste Aligner 项目中实现 Recommendation Service v1.3 的全过程： 为什么要做“舒适区 / 探索区”双区推荐？ 为什么必须拆成 Recall→Rerank？ 如何让推荐“可解释、可控、可验证、Agent 友好”？ 以及：我遇到的 2 个最难 bug（CZ 跨城污染、tags=[] 导致 EZ 消失）是怎么一步步修掉的。 0. 背景：Recommendation 在 Taste Aligner 里负责什么？ Taste Al...
Join discussionJan 6 · 2 min read · 📜 Why Retail Is a Natural Fit for AI Retail and e-commerce generate enormous volumes of data: Customer clicks and searchesPurchase historiesBrowsing behaviourSupply chain and inventory signals This makes retail one of the most attractive — and compe...
Join discussion
Sep 30, 2025 · 10 min read · Ever wondered how Netflix uncannily knows which movie or TV show you'll want to watch next? The answer lies not in mystical algorithms or crystal balls, but in sophisticated mathematical frameworks that have revolutionised how we consume digital cont...
Join discussionJul 26, 2025 · 9 min read · The Quest Begins Once upon a time : You're scrolling through Netflix for the 147th time, and somehow their algorithm thinks you'd enjoy "Cats" because you once watched "The Lion King." We've all been there. Today, we're staging a rebellion. We're bui...
Join discussion
Jul 18, 2025 · 2 min read · 2025 Over the course of approximately 2 months, I collected anime list data from over 5 million users across three major platforms: MyAnimeList, AniList, and Kitsu. To ensure data quality and relevance, I filtered out users with fewer than 5 entries ...
Join discussion
