Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Abstract: Collaborative filtering-based recommendation systems often face challenges such as data sparsity and cold start problem. Knowledge graphs have been leveraged as auxiliary information to ...