An Active Service Recommendation Model for Multi-Source Remote Sensing Information Using Fusion of Attention and Multi-Perspective

An Active Service Recommendation Model for Multi-Source Remote Sensing Information Using Fusion of Attention and Multi-Perspective

With the development and popularization of remote sensing earth observation technology and the remote sensing satellite system, the problems of insufficient proactiveness, relevance and timeliness of large-scale remote sensing supporting services are increasingly prominent, which seriously restricts...

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Dettagli Bibliografici
Autori principali:	Lilu Zhu, Feng Wu, Kun Fu, Yanfeng Hu, Yang Wang, Xinmei Tian, Kai Huang
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2023-05-01
Serie:	Remote Sensing
Soggetti:	multi-source remote sensing information multi-perspective value evaluation attention mechanism collaborative filtering recommendation system
Accesso online:	https://www.mdpi.com/2072-4292/15/10/2564

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