Diffusion Cross-domain Recommendation

Understand

It is always a challenge for recommender systems to give high-quality outcomes to cold-start users.

• One potential solution to alleviate the data sparsity problem for cold-start users in the target domain is to add data from the auxiliary domain.
• Finding a proper way to extract knowledge from an auxiliary domain and transfer it into a target domain is one of the main objectives for cross-domain recommendation (CDR) research.
• Among the existing methods, mapping approach is a popular one to implement cross-domain recommendation models (CDRs).