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cs.IR2025
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
Lei Guo, Chenlong Song, Feng Guo +3
Non-overlapping Cross-domain Sequential Recommendation (NCSR) is the task that focuses on domain knowledge transfer without overlapping entities. Compared with traditional Cross-do…
cs.IR2025
Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
Ziang Lu, Lei Guo, Xu Yu +3
In the evolving landscape of recommender systems, the challenge of effectively conducting privacy-preserving Cross-Domain Recommendation (CDR), especially under strict non-overlapp…
cs.IR2024
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation
Lei Guo, Ziang Lu, Junliang Yu +2
Cross-domain Recommendation (CDR) as one of the effective techniques in alleviating the data sparsity issues has been widely studied in recent years. However, previous works may ca…