A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation
Abstract The cold-start problem in recommender systems has been facing a great challenge. Cross-domain recommendation can improve the performance of cold-start user recommendations in the target domain by using the rich information of users in the source domain. In cross-domain cold-start recommenda...
保存先:
| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SpringerOpen
2024-03-01
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| シリーズ: | Data Science and Engineering |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s41019-024-00245-y |
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