Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation

Understand

Multi-domain learning (MDL) has become a prominent topic in enhancing the quality of personalized services.

• It's critical to learn commonalities between domains and preserve the distinct characteristics of each domain.
• However, this leads to a challenging dilemma in MDL.
• On the one hand, a model needs to leverage domain-aware modules such as experts or embeddings to preserve each domain's distinctiveness.