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medium.com /2 days ago

What a Recommender System Actually Does — and the Three Times Mine Lied to Me

A no-jargon introduction, from a project where the interesting results were the disappointing ones.Continue reading on Medium »

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bioengineer.org /3 days ago

Residual-enhanced contrastive learning improves knowledge-aware recommendation model

Recommendation engines shape much of what people watch, read, and buy online, yet the algorithms behind them have long struggled with a fundamental tension: the collaborative filte...

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editorialge.com /1 month ago

Recommendation Algorithms Explained: How Platforms Decide What You See

Recommendation algorithms are machine learning prediction and ranking engines that curate personalized content, products, and media across digital platforms like YouTube, Netflix,...

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aws.amazon.com /1 month ago

Building a scalable personalized recommendation system on AWS: From batch to real-time

Learn how the Everyday Essentials team built a scalable personalized recommendation platform on AWS using a batch-first architecture with Amazon MWAA for orchestration, Amazon Sage...

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aws.amazon.com /1 month ago

Build an explainable next-best-product recommendation system for banking on AWS

Learn the architecture and design decisions behind an explainable next-best-product recommendation system for banking, built with Amazon SageMaker AI and PyTorch. A multi-tower neu...

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medinform.jmir.org /1 month ago

A Dynamic Graph–Based Multiobjective Optimization Method for Physician Recommendation: Development and Evaluation Study

Background: Online health care consultation provides patients with broad access to physicians, but also presents the challenge of selecting a suitable doctor in the absence of tria...

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habr.com /4 weeks ago

Как за 5 недель построить рекомендательную систему в TravelTech: Kafka и MongoDB вместо Feature Store

Привет! Меня зовут Кристина, я MLOps-инженер в Туту. Занимаюсь тем, что помогаю рекомендательным системам добраться до прода со всеми компромиссами, горящими дедлайнами и новыми ид...

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habr.com /1 week ago

«Спорт, борщ, крипта»: как мы проверяли, работают ли интересы в рекомендательной системе

Пользователь пишет интересы текстом, мы делаем из них один эмбеддинг. Работает он как монета (ROC-AUC 0.52), а на коротких интересах 0.41, то есть хуже случайного порядка. Прогнали...

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prweb.com /2 weeks ago

AI Is Recommending Products to 900 Million People a Week- 78% of Brands Aren't in the Answer.

CommerceV3 analysis of 1 million+ AI shopping prompts finds most eCommerce brands are invisible to AI assistants; the company launched Agentic AI Growth Suite to close the gap. NEW...

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iguides.ru /5 days ago

В «VK Видео» появились персональные рекомендации трансляций

Платформа «VK Видео» начала персонально рекомендовать пользователям прямые трансляции на главной странице. Алгоритмы учитывают интересы зрителя и историю его взаимодействия с конте...

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dev.to /3 weeks ago

Portable Semantic Search for Private SaaS Documents Using Embeddings Reranking and RAG

Short answer: start a private fintech knowledge-base feature with embeddings, in-app retrieval, and grounded chat completions; keep reranking optional until real questions show tha...

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habr.com /1 week ago

Архитектура банковского RecSys

В этой статье разберем банковский RecSys: как он строится в 2026 году, что из классики все еще работает и на что стоит смотреть, если вы сейчас закладываете архитектуру RecSys для...

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blog.invgate.com /3 weeks ago

Smart Recommendations in InvGate Asset Management: From Visibility to Proactive Decisions

Over the last few years, we've helped hundreds of organizations build and organize their IT inventories, and design automations that make daily tasks easier. That level of maturity...

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