Intent-aware Recommendation via Disentangled Graph Contrastive Learning: Enhancing Recommender Systems with Interpretable Intents

Intent-aware Recommendation via Disentangled Graph Contrastive Learning (IDCL) enhances recommender systems by disentangling user intents and inferring behavior distributions.