A Cloud API Personalized Recommendation Method Based on Multiple Attribute Features and Mashup Requirement Attention
In current mashup-oriented cloud API recommendation systems, insufficient attention to personalized development requirements remains a common issue, particularly regarding developers’ needs for attributes such as functionality similarity and complementarity. This paper proposes a novel ap...
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| Main Authors: | Limin Shen, Yuying Wang, Chengyu Li, Zhen Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10767143/ |
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