Collaborative filtering is a cornerstone of personalised recommendation, leveraging patterns of user behaviour to predict preferences. Traditional memory-based approaches compute similarities between ...

We explore how large language models (LLMs) can enhance the proposal selection process at large user facilities, offering a scalable, consistent, and cost-effective alternative to traditional human ...

A model combining implicit user features, deep neural networks and matrix factorization improved entrepreneurial project ...

A hybrid AI recommendation system that combines specialized expert routing with neural modeling of reading behavior reached ...