CRTL: Context Restoration Transfer Learning for Cross-Domain Recommendations

Among different recommendation techniques, collaborative filtering usually suffers from limited performance due to the data sparsity problem. Transfer learning presents an unprecedented opportunity to alleviate this issue by transferring rating patterns from the source domain to the target domain. However, an issue occurs in some situations when the source and target domains have unrelated parts t...