TAP with ease: a generic recommendation system for trigger-action programming based on multi-modal representation learning

The escalating popularity of smart devices has given rise to an increasing trend wherein users leverage customized trigger-action programming (TAP) rules within the Internet of Things (IoT) to automate various aspects of their lives. This article addresses the challenge of effectively combining func...

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Veröffentlicht in:	Applied soft computing Jg. 166; S. 112163
Hauptverfasser:	Wu, Gang, Wang, Ming, Wang, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2024
Schlagworte:	Knowledge graph embedding Multi-modal representation learning Natural language processing Trigger-action programming Knowledge graph embedding Multi-modal representation learning Natural language processing Trigger-action programming
ISSN:	1568-4946
Online-Zugang:	Volltext
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