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

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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Bibliographic Details
Main Authors: Xiaomin Lv, Kai Fang, Tongcun Liu
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Sensors
Subjects:
recommender system
cold start
meta-learning
representation learning
Online Access:https://www.mdpi.com/1424-8220/24/17/5510

Internet

https://www.mdpi.com/1424-8220/24/17/5510

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