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Multi-level dual contrastive learning for cloud API cold-start recommendation
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AI
DOI：10.1016/j.knosys.2026.115534.png)
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Abstract
En 中文
• Multi-level dual contrastive learning for cloud API cold-start recommendation. • Group-level alignment guides low-similarity cold APIs toward collaborative space. • Decomposes the objective into three alignments: Mashup-API, API-level, and group-level. • Outperforms state-of-the-art methods on real-world cloud API datasets.
Keywords:
Multi-level dual contrastive learning
Cloud API recommendation
Cold-start problem
Contrastive learning
Group-level alignment
Journal
K
IF:
7.6
Papers:
1.2W
Citations:
4.5W