3 papers
cs.IR2025
Collaborative Group-Aware Hashing for Fast Recommender Systems
Yan Zhang, Li Deng, Lixin Duan +2
The fast online recommendation is critical for applications with large-scale databases; meanwhile, it is challenging to provide accurate recommendations in sparse scenarios. Hash t…
cs.IR2025
Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
Yan Zhang, Li Deng, Lixin Duan +1
Metric learning has attracted extensive interest for its ability to provide personalized recommendations based on the importance of observed user-item interactions. Current metric…
cs.IR2025
Coherence-guided Preference Disentanglement for Cross-domain Recommendations
Zongyi Xiang, Yan Zhang, Lixin Duan +2
Discovering user preferences across different domains is pivotal in cross-domain recommendation systems, particularly when platforms lack comprehensive user-item interactive data.…