Qian Yan

Learning Multi-aspect Shared Representation for Recommendation

Representation learning-based recommendation models have garnered considerable attention for their ability to extract meaningful patterns from historical user–item interactions. Nevertheless, most existing approaches represent each user or item with a single embedding, which limi...