Latest updates for Recommender Systems

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Recent items include:

  • How Recommendation Systems Are Transforming Digital Experiences
  • Neural Collaborative Filtering: Bringing Smart Recommendations to Android Apps
  • Beyond the Scroll: How Social Media Algorithms Shape Your Reality

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medium.com /1 month ago

How Recommendation Systems Are Transforming Digital Experiences

IntroductionContinue reading on Medium »

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medium.com /3 weeks ago

Neural Collaborative Filtering: Bringing Smart Recommendations to Android Apps

Introduction:Continue reading on Medium »

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towardsdatascience.com /1 week ago

Beyond the Scroll: How Social Media Algorithms Shape Your Reality

An intro to recommender systems The post Beyond the Scroll: How Social Media Algorithms Shape Your Reality appeared first on Towards Data Science.

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medium.com /1 month ago

Build a Movie Recommendation System Using Python (Step-by-Step Beginner Guide)

Learn AI by building a real project step-by-step — no theory, just practical coding.Continue reading on Medium »

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computerra.ru /3 days ago

Рекомендательная система на базе ИИ решает, кому показывать посты ВКонтакте

Источник: Компьютерра - Журнал о науке и технологиях Система рекомендаций в социальной сети ВКонтакте теперь выводит контент на широкую аудиторию, не опираясь на текущее количеств...

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iguides.ru /2 days ago

VK обновила алгоритмы рекомендаций в соцсети «ВКонтакте»

Система рекомендаций «ВКонтакте» сразу выводит контент на широкую аудиторию и помогает расти оригинальным авторам вне зависимости от количества подписчиков.

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aws.amazon.com /3 days ago

Real-time personalized recommendations with Amazon SageMaker and Amazon-managed Valkey

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...

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dzone.com /1 month ago

Designing a “People You May Know” System With Graph Neural Networks

Why This Puzzle Might Be Harder Than It Appears Most people will feel that this aspect is very simple: The "People You May Know" feature is so easy to use! You log into an app, bro...

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habr.com /1 month ago

Как я строю рекомендательную модель фильмов: cold start, вектор вкуса и GPT

Выбрать фильм на вечер сложно даже для одного человека.А если фильм нужно выбрать для пары, где вкусы просто разные, задача становится ещё менее предсказуемой.Обычные подборки, жан...

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simplilearn.com /1 month ago

Netflix Recommendations: How Netflix Uses AI, Data Science, and ML | Simplilearn

Netflix is widely regarded as the leading over-the-top (OTT) platform because of its reputation for offering users a wide variety of high-quality streaming content. The reason why...

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habr.com /1 week ago

От фич и каскадов к генеративной модели: как мы переосмыслили рекомендации с помощью ARGUS

Классические рекомендательные системы в крупных компаниях — это десятки микросервисов, каскадная фильтрация и тысячи ручных признаков. Такой стек может надёжно работать годами, но ...

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towardsdatascience.com /1 week ago

Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Service

A practical walkthrough of building and deploying a multistage, multimodal recommender system on Amazon EKS, covering data pipelines, model training, Bloom filters, feature caching...

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gizmodo.com /1 month ago

Tubi Manages to Turn People Against Recommendations With Bad AI Branding

Content recommendation have been around a long time. We just called it machine learning before.

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towardsdatascience.com /1 month ago

System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine

A deep dive into how Apache Flink works, why it exists, and learning it while building a real-time recommendation engine The post System Design Series: Apache Flink from 10,000 Fee...

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simplilearn.com /1 month ago

SLH Explained: How the Recommendation Engine Enables Personalized Learning | Simplilearn

A Personalized Learning Experience Built Around Every Learner Modern upskilling is most effective when learning journeys are tailored, not generic. The Simplilearn Learning Hub+ pl...

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computerra.ru /2 days ago

Как рекомендательный слой Smart TV влияет на выбор пользователя

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...

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bioengineer.org /1 month ago

CRAFT: Federated Attention Boosts Cold-Start Recommenders

In the rapidly evolving landscape of artificial intelligence and machine learning, the challenge of delivering personalized recommendations to users who have little to no prior int...

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thenextweb.com /1 month ago

Trusti envisions the return of human-centered recommendations in a digitally expansive marketplace

When a need arises, many people instinctively turn to someone they know. A quick message to a friend or a brief conversation often brings clarity, shaped by shared experiences and...

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towardsdatascience.com /3 days ago

Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model

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...

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medium.com /1 month ago

Python Data Science Unsupervised Learning Journey — Part 33: Hands‑On Guide to Collaborative…

In the 33rd edition of the ‘Python Data Science Unsupervised Learning Journey’, we shift our focus to collaborative filtering for…Continue reading on AI & QA Nexus »

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runet.news /1 month ago

Российские ученые разработали метод ускорения рекомендательных систем с использованием искусственного интеллекта

Специалисты из Центра практического искусственного интеллекта Сбербанка совместно с исследователями AIRI, Университета Иннополис и ИТМО представили инновационный подход к повышению...

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socialmediatoday.com /2 weeks ago

LinkedIn uses AI to improve feed relevance

The company is using artificial intelligence-powered generative recommendations to assess user actions across the platform.

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adexchanger.com /1 month ago

Sports Publisher On3 Tries AI Recommendations To Keep Engagement In Its Home Court

Publishers are getting real about the declines in traffic from search and social media. Some pubs are maximizing revenue per session (RPS) to get the most out of the traffic that s...

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rte.ie /3 weeks ago

Meta's algorithms in the spotlight amid fresh probe

Terms like "algorithm" and "recommender system" have entered the common lexicon in recent years, particularly in the area of online safety, writes Brian O'Donovan.

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Sources covering Recommender Systems

feeds.dzone.com

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feeds2.feedburner.com

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aws.amazon.com

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bioengineer.org

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feeds.feedburner.com

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gizmodo.com

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