AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation

Trip purpose is a meaningful aspect of travel behaviour for the understanding of urban mobility. However, it is non-trivial to automatically obtain trip purposes. On one hand, trip purposes are naturally diverse and complicated, but the available predictive data sources are limited in real-world sce...

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Bibliographic Details
Published in:ACM transactions on knowledge discovery from data 2024-08, Vol.18 (8), p.1-25, Article 206
Main Authors: Liao, Chengwu, Chen, Chao, Zhang, Wanyi, Guo, Suiming, Liu, Chao
Format: Article
Language:English
Subjects:
Computing methodologies
Human-centered computing
Machine learning algorithms
Ubiquitous computing
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