154 citations · 566 across the 76 of their papers we have counts for
Showing 2020 · cs.IRShow all
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cs.IR2020
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation
Yan Zhang, Ivor W. Tsang, Lixin Duan
Cold-start has being a critical issue in recommender systems with the explosion of data in e-commerce. Most existing studies proposed to alleviate the cold-start problem are also k…
cs.IR2020
Deep Pairwise Hashing for Cold-start Recommendation
Yan Zhang, Ivor W. Tsang, Hongzhi Yin +3
Recommendation efficiency and data sparsity problems have been regarded as two challenges of improving performance for online recommendation. Most of the previous related work focu…
cs.IR2020
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
Xu Chen, Ya Zhang, Ivor Tsang +2
Cross domain recommendation (CDR) is one popular research topic in recommender systems. This paper focuses on a popular scenario for CDR where different domains share the same set…