Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

You will be redirected to our submission process. With the growing dominance of online platforms in the media, creative, and cultural industries (MCCI), recommender systems have become omnipresent in ...

Energy Fault Detector is an open-source Python package designed for the automated detection of anomalies in operational data from renewable energy systems as well as power grids. It uses ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published official guidance about what it is and what they feel publishers should know ...

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 ...

Abstract: Recommender systems enhance user experience by delivering personalized suggestions derived from users' historical behavior. However, conventional approaches face challenges in processing ...

Global investment in digital transformation is on track to approach $4 trillion by 2027, according to IDC. Yet research from BCG shows that up to 70% of these initiatives fail, and Gartner found that ...

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

There once was a time where going viral on the internet actually meant something. Long ago, in the early 2010s, 500,000 views could actually land you on daytime TV, where you could experience the ...

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...

Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to one billion parameters. This ...