Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning

As the number of Web APIs ever increases, choosing the appropriate APIs for mashup creations becomes more difficult. To tackle this problem, various methods have been proposed to recommend APIs to match requirements of mashups and achieved much success. However, there existed some challenges with fe...

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Vydáno v:	IEEE transactions on services computing Ročník 15; číslo 6; s. 3330 - 3343
Hlavní autoři:	Wu, Hao, Duan, Yunhao, Yue, Kun, Zhang, Lei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Application programming interface Blogs Collaboration Compatibility Feature extraction Learning mashup Mashups multi-model fusion multi-task learning neural network Semantics Social networking (online) Task analysis Web API recommendation
ISSN:	1939-1374, 2372-0204
On-line přístup:	Získat plný text
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