YouTube’s recommendation system can feel like magic when it works — and a total mess when it doesn’t. By understanding how it works and using the right tools, you can shape it to match your interests.

The Age of Piracy officially begins with Windrose entering Early Access, so here are 12 beginner tips to have a strong start ...

Recommendation for students of the Faculty of Education at the University of Innsbruck on the use of artificial intelligen ...

This project combines two prominent machine learning / big data technologies: MapReduce and recommendation. Foundational amongst those technologies are the resilient Google File System (GFS) and a ...

YouTube went down on Tuesday night, with more than 300,000 users experiencing technical difficulties, according to DownDetector. Problems for the digital video platform began around 5 p.m. PT, and ...

Abstract: Recommender systems (RSs) are software systems that use machine learning techniques to suggest items, such as movies, products or routes to users based on input provided over time. These ...

Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...

It looks like Meta's Vibes feed is just the start of the company's pivot toward AI slop. In an earnings call, CEO Mark Zuckerberg said that "we're going to add yet another huge corpus of content" to ...

recommend/ ├── data/ │ ├── raw/ # 原始数据集（从Kaggle下载） │ └── processed/ # 处理后的数据 ├── src ...

Abstract: Recommender systems are widely regarded as effective tools for facilitating the discovery of relevant content. In the food domain, they help users find recipes, choose grocery products, and ...