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Balancing happiness and efficiency in POI recommendation via Kahneman–Tversky optimization

Abstract The recommendation of points of interest (POIs) is essential for location-based services, particularly targeted advertising and content delivery. However, existing systems prioritize efficiency and recommend easily accessible locations based on past mobility data. A quantitative framework t...

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Principais autores: Takashi Ushio, Yusuke Hara
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2026-06-01
Serier:Urban Informatics
Fag:
Human mobility data
Next POI recommendation
Preference-based optimization
Prospect theory
Well-being
Transformer
Online adgang:https://doi.org/10.1007/s44212-025-00101-y
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