| Autor: |
XIAOBO GUO, SHAOSHUAI LI, NAICHENG GUO, JIANGXIA CAO, XIAOLEI LIU, QIONGXU MA, RUNSHENG GAN, YUNAN ZHAO |
| Zdroj: |
ACM Transactions on Information Systems; Oct2023, Vol. 41 Issue 4, p1-27, 27p |
| Abstrakt: |
The article focuses on addressing data sparsity in recommendation systems through multi-target cross-domain recommendation (CDR). It introduces DR-MTCDR, a novel model that efficiently disentangles domain-specific and domain-shared information to enhance recommendation performance across multiple domains, offering a solution to challenges posed by pairwise transferring methods. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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