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 ...

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

Recommender systems quietly shape much of modern digital life, deciding which films appear in your queue, which products ...