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Recommender systems (also called recommendation systems or RecSys) are information-filtering systems that use data about users, items, and…Continue reading on Medium »
Here is the thing that still feels a little magical to me about recommender systems: a good one can suggest a film in a genre you have never touched, and be right, without knowing...
An intro to recommender systems The post Beyond the Scroll: How Social Media Algorithms Shape Your Reality appeared first on Towards Data Science.
This is how LLMs are used today to increase precision in recommendation systems The post Increase Recommendation Systems’ Precision with LLMs, Using Python appeared first on Toward...
Источник: Компьютерра - Журнал о науке и технологиях Система рекомендаций в социальной сети ВКонтакте теперь выводит контент на широкую аудиторию, не опираясь на текущее количеств...
Система рекомендаций «ВКонтакте» сразу выводит контент на широкую аудиторию и помогает расти оригинальным авторам вне зависимости от количества подписчиков.
Amazon receives millions of visits every day, and earning each customer’s trust visit after visit is the foundation that the store is built on. A meaningful part of that trust come...
В онлайн-шопинге важно, чтобы поиск нужной вещи не занимал много времени, а результат был персональным для каждого пользователя. Одна из фичей, которая позволяет это делать — реком...
Want to know how the “Recommended music for you” section on Spotify works? It’s not magic how songs of similar genres play one after the other without your intervention, but a for...
Fu Cong's team and Xiamen University develop ManCAR, a manifold-constrained adaptive reasoning framework for generative recommendation, achieving up to 46.88% NDCG@10 improvement.
Классические рекомендательные системы в крупных компаниях — это десятки микросервисов, каскадная фильтрация и тысячи ручных признаков. Такой стек может надёжно работать годами, но ...
A practical walkthrough of building and deploying a multistage, multimodal recommender system on Amazon EKS, covering data pipelines, model training, Bloom filters, feature caching...
Источник: Компьютерра - Журнал о науке и технологиях Телевизор больше не ждет, пока пользователь вручную дойдет до нужного приложения. Главный экран Smart TV сразу предлагает вари...
I've watched e-commerce teams spend a bomb on personalization and still end up with the same problem: a storefront that treats every visitor like a stranger. The cart abandonment r...
Apple will now recommend apps based on your downloads and behavior.
How to Turn Simple Head-to-Head Choices Into Probabilistic Rankings The post Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model appeared first on Toward...
検索やレコメンドは、ユーザーに必要な情報を届けるための仕組みです。しかし、その裏側を支える基盤開発は、単なるAPI実装でも、モデルを載せるだけの仕事でもありません。サービスごとに異な...
レコメンドや最適化の仕事は、モデルの精度を上げることだと思われがちです。しかし、実サービスではそれだけで価値になるとは限りません。ユーザー体験を良くしたい。セッション数を伸ばしたい...
MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.
Learn how to find the movies you want to watch.
The conversation around the Top 5 Streaming Apps is often focused on content libraries and pricing, but discovery and personalization have become equally important. Modern viewers...
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