research-article

A Correlation Graph Based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development

Authors:

Jinjun ChenAuthors Info & Claims

IEEE Transactions on Knowledge and Data Engineering, Volume 35, Issue 6

Pages 5444 - 5457

https://doi.org/10.1109/TKDE.2022.3168611

Published: 01 June 2023 Publication History

Abstract

Using Web APIs registered in service sharing communities for mobile APP development can not only reduce development period and cost, but also fully reuse state-of-the-art research outcomes in broad domain so as to ensure up-to-date APP development and applications. However, the big volume of available APIs in Web communities as well as their differences make it difficult for APIs selection considering compatibility, preferred partial APIs and expected APIs functions which are often of high variety. Accordingly, how to recommend a set of functional-satisfactory and compatibility-optimal APIs based on the APP developer's multiple function expectation and pre-chosen partial APIs is on demand as a significant challenge for successful APP development. To address this challenge, we first construct a Web APIs correlation graph that incorporates functional descriptions and compatibility information of Web APIs, and then propose a correlation graph-based approach for personalized and compatible Web APIs recommendation in mobile APP development. Finally, through extensive experiments on a real dataset crawled from Web APIs websites, we prove the feasibility of our proposed recommendation approach.

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Cited By

Chen JYang SGao TYing YLi TLi P(2024)Multi-type concept drift detection under a dual-layer variable sliding window in frequent pattern mining with cloud computingJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00566-913:1Online publication date: 15-Feb-2024
https://dl.acm.org/doi/10.1186/s13677-023-00566-9
Kang GWang YRen HCao BLiu JWen Y(2024)KS-GNN: Keyword Search via Graph Neural Network for Web API RecommendationIEEE Transactions on Network and Service Management10.1109/TNSM.2024.342007221:5(5464-5474)Online publication date: 1-Oct-2024
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Chen ZBao TQi WYou DLiu LShen L(2024)Poisoning QoS-aware cloud API recommender system with generative adversarial network attackExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.121630238:PBOnline publication date: 27-Feb-2024
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cover image IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Knowledge and Data Engineering Volume 35, Issue 6

June 2023

1074 pages

ISSN:1041-4347

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1041-4347 © 2022 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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IEEE Educational Activities Department

United States

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Published: 01 June 2023

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Cited By

Chen JYang SGao TYing YLi TLi P(2024)Multi-type concept drift detection under a dual-layer variable sliding window in frequent pattern mining with cloud computingJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00566-913:1Online publication date: 15-Feb-2024
https://dl.acm.org/doi/10.1186/s13677-023-00566-9
Kang GWang YRen HCao BLiu JWen Y(2024)KS-GNN: Keyword Search via Graph Neural Network for Web API RecommendationIEEE Transactions on Network and Service Management10.1109/TNSM.2024.342007221:5(5464-5474)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1109/TNSM.2024.3420072
Chen ZBao TQi WYou DLiu LShen L(2024)Poisoning QoS-aware cloud API recommender system with generative adversarial network attackExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.121630238:PBOnline publication date: 27-Feb-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.121630
Yu TZhang LLiu HLiu HWang J(2024)Service recommendation based on contrastive learning and multi-task learningComputer Communications10.1016/j.comcom.2023.11.018213:C(285-295)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.comcom.2023.11.018
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Xiao LCao YGai YLiu JZhong PMoghimi M(2023)Review on the application of cloud computing in the sports industryJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00531-612:1Online publication date: 2-Nov-2023
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Li HXu QWang QTang B(2023)A Review of Intelligent Verification System for Distribution Automation Terminal based on Artificial Intelligence AlgorithmsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00527-212:1Online publication date: 16-Oct-2023
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Liu LHe HQi FZhao YXie WZhou FFeng L(2023)HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learningJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00512-912:1Online publication date: 29-Sep-2023
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