Dysr: A dynamic graph neural network based service bundle recommendation model for mashup creation

M Liu, Z Tu, H Xu, X Xu, Z Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An increasing number and diversity of services are available, which results in significant
challenges to effectively reuse service during mashup creation. Many works have modeled …

A spatial–temporal hypergraph based method for service recommendation in the Mobile Internet of Things-enabled service platform

Z Jia, Y Fan, C Wei, R Yan - Advanced Engineering Informatics, 2023 - Elsevier
With the rapid progress of Mobile Internet of Things (MIoT), Location-Based Services (LBSs)
have become widely popular due to the deployment of diverse devices and facilities. The …

[HTML][HTML] Facilitating innovation in the API economy: Privacy-enhanced and novelty-aware API recommendation for enterprises

B Xin, C Yan, Y Cao, M Bilal - Journal of Innovation & Knowledge, 2023 - Elsevier
Web APIs provide enterprises with a new way of driving innovations of new technology with
limited resources. API recommendations greatly alleviate the selection burdens of …

MGMASR: Multi-Graph and Multi-Aspect Neural Network for Service Recommendation in Internet of Services

Z Jia, Y Fan, J Zhang - IEEE Transactions on Network and …, 2023 - ieeexplore.ieee.org
With the flourishing development of Everything-as-a-Service (EaaS) and Internet of
Everything (IoE), Internet of Services (IoS) has recently emerged as a new buzzword in the …

Cross-view Graph Alignment for Mashup Recommendation

C Wei, Y Fan, Z Jia, J Zhang - IEEE Transactions on Services …, 2024 - ieeexplore.ieee.org
As the adoption of Service-Oriented Computing continues to grow, the number of web
services has increased significantly, which makes service recommendation become an …

Service Recommendations for Mashup Based on Generation Model

G Fan, S Chen, Q He, H Wu, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Service recommendations are crucial for developers to create mashups such as mobile
applications, workflows, e-business solutions, etc. Existing methods based on collaborative …

[HTML][HTML] 基于兼容性感知的服务推荐方法研究

王雅琦, 俞婷, 梁田, 余振洋, 陈鑫磊 - Software Engineering and …, 2024 - hanspub.org
随着互联网的发展, 信息爆炸的问题日益突出, 开发者很难准确地找到自己需要的服务.
服务推荐技术可以帮助开发者过滤信息, 提供个性化的推荐, 节省开发者的时间和精力 …

[HTML][HTML] 基于Transformer 的服务推荐方法研究

程芳颖, 俞婷, 林帅伽, 王雅琦, 余振洋… - Computer Science and …, 2024 - hanspub.org
近年来, 越来越多的开发者使用Web 服务来进行应用开发, 但是如何选择合适的Web
对于开发者来说存在着一定的难度. 开发者对于各类服务不熟悉, 无法精确对服务特征进行描述 …

RLISR: A Deep Reinforcement Learning based Interactive Service Recommendation Model

M Zhang, Y Qu, Y Li, X Wen, Y Zhou - IEEE Access, 2024 - ieeexplore.ieee.org
An increasing number of services are being offered online, which leads to great difficulties in
selecting appropriate services during mashup development. There have been many service …

Deep learning framework for multi‐round service bundle recommendation in iterative mashup development

Y Ma, X Geng, J Wang, K He… - CAAI Transactions on …, 2023 - Wiley Online Library
Recent years have witnessed the rapid development of service‐oriented computing
technologies. The boom of Web services increases software developers' selection burden in …