A Cloud API Personalized Recommendation Method Based on Multiple Attribute Features and Mashup Requirement Attention

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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Bibliographic Details
Main Authors: Limin Shen, Yuying Wang, Chengyu Li, Zhen Chen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Attention mechanism
cloud application programming interface
mashup-oriented
multiple attribute features
personalized recommendation
Online Access:https://ieeexplore.ieee.org/document/10767143/
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https://ieeexplore.ieee.org/document/10767143/

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