Content-Aware Few-Shot Meta-Learning for Cold-Start Recommendation on Portable Sensing Devices

The cold-start problem in sequence recommendations presents a critical and challenging issue for portable sensing devices. Existing content-aware approaches often struggle to effectively distinguish the relative importance of content features and typically lack generalizability when processing new d...

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Hlavní autoři:	Xiaomin Lv, Kai Fang, Tongcun Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-08-01
Edice:	Sensors
Témata:	recommender system cold start meta-learning representation learning
On-line přístup:	https://www.mdpi.com/1424-8220/24/17/5510
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