Cross-domain recommendation: challenges, progress, and prospects

F Zhu, Y Wang, C Chen, J Zhou, L Li, G Liu - arXiv preprint arXiv …, 2021 - arxiv.org
To address the long-standing data sparsity problem in recommender systems (RSs), cross-
domain recommendation (CDR) has been proposed to leverage the relatively richer …

[PDF][PDF] Cross-Domain Recommendation: Challenges, Progress, and Prospects

F Zhu, Y Wang, C Chen, J Zhou, L Li, G Liu - scholar.archive.org
To address the long-standing data sparsity problem in recommender systems (RSs), cross-
domain recommendation (CDR) has been proposed to leverage the relatively richer …

[PDF][PDF] Cross-Domain Recommendation: Challenges, Progress, and Prospects

F Zhu, Y Wang, C Chen, J Zhou, L Li, G Liu - ijcai.org
To address the long-standing data sparsity problem in recommender systems (RSs), cross-
domain recommendation (CDR) has been proposed to leverage the relatively richer …

Cross-domain recommendation: challenges, progress, and prospects

F Zhu, Y Wang, C Chen, J Zhou… - 30th International Joint …, 2021 - researchers.mq.edu.au
To address the long-standing data sparsity problem in recommender systems (RSs), cross-
domain recommendation (CDR) has been proposed to leverage the relatively richer …

Cross-Domain Recommendation: Challenges, Progress, and Prospects

F Zhu, Y Wang, C Chen, J Zhou, L Li, G Liu - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
To address the long-standing data sparsity problem in recommender systems (RSs), cross-
domain recommendation (CDR) has been proposed to leverage the relatively richer …