A survey on cross-domain recommendation: taxonomies, methods, and future directions

T Zang, Y Zhu, H Liu, R Zhang, J Yu - ACM Transactions on Information …, 2022 - dl.acm.org
Traditional recommendation systems are faced with two long-standing obstacles, namely
data sparsity and cold-start problems, which promote the emergence and development of …

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

T Zang, Y Zhu, H Liu, R Zhang, J Yu - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Traditional recommendation systems are faced with two long-standing obstacles, namely,
data sparsity and cold-start problems, which promote the emergence and development of …

[PDF][PDF] A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

T ZANG, Y ZHU, H LIU, R ZHANG, J YU - 2022 - scholar.archive.org
In the era of information explosion, people are easy to be overwhelmed by a large amount of
information. Millions of new products, text, and videos are being released all the time, which …

[PDF][PDF] A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

T ZANG, Y ZHU, H LIU, R ZHANG… - arXiv preprint arXiv …, 2021 - researchgate.net
In the era of information explosion, people are easy to be overwhelmed by a large amount of
information. Millions of new products, text, and videos are being released all the time, which …

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

T Zang, Y Zhu, H Liu, R Zhang, J Yu - arXiv preprint arXiv:2108.03357, 2021 - arxiv.org
Traditional recommendation systems are faced with two long-standing obstacles, namely,
data sparsity and cold-start problems, which promote the emergence and development of …