AlphaFree: Recommendation Free from Users, IDs, and GNNs

Researchers propose AlphaFree, a novel recommender system that eliminates traditional dependencies on user embeddings, raw IDs, and graph neural networks. The system achieves up to 40% performance improvements while reducing GPU memory usage by up to 69% through language representations and contrastive learning.