Compatible Compositions Recommendation for Mashup-Oriented Depopularity Web API

With the increasing popularity of mashup development composed of various Web APIs in the realm of Web services, API recommendation research has gained significant attention. However, it faces challenges, particularly in dealing with nonpopular APIs. Studies suggest that focusing on nonpopular APIs m...

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Vydané v:	IEEE transactions on computational social systems Ročník 12; číslo 5; s. 1999 - 2013
Hlavní autori:	Sang, Chunyan, Deng, Xinyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.10.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Algorithms API compositions recommendation Application programming interface Bias Compatibility compatible Composition Correlation correlation graphmashup Data mining Deep learning depopularity Effectiveness Feature extraction Graph theory Mashups Noise reduction Performance evaluation Semantics Steiner trees Tail Web services
ISSN:	2329-924X, 2373-7476
On-line prístup:	Získať plný text
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