Interpretable Embeddings for Next Point-of-Interest Recommendation via Large Language Model Question–Answering

Interpretable Embeddings for Next Point-of-Interest Recommendation via Large Language Model Question–Answering

Next point-of-interest (POI) recommendation provides users with location suggestions that they may be interested in, allowing them to explore their surroundings. Existing sequence-based or graph-based POI recommendation methods have matured in capturing spatiotemporal information; however, POI recom...

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Bibliographic Details
Main Authors: Jiubing Chen, Haoyu Wang, Jianxin Shang, Chaomurilige
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
point of interest
sequential recommendation
large language models
spatiotemporal
Online Access:https://www.mdpi.com/2227-7390/12/22/3592
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