Learning Disentangled Multi-intent Representations for Scalable Recommendation

Learning Disentangled Multi-intent Representations for Scalable Recommendation

Intent learning aims to capture user intentions to enhance user understanding and item recommendation, emerging as a key research focus in recent years. However, existing approaches often rely on complex and computationally expensive alternating optimization processes, which limit both perform...