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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Bibliographic Details

Published in:	Applied soft computing Vol. 166; p. 112163
Main Authors:	Wu, Gang, Wang, Ming, Wang, Feng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2024
Subjects:	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 Access:	Get full text
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