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Multi-modal transportation recommendation with unified route representation learning
Multi-modal transportation recommendation aims to provide the most appropriate travel
route with various transportation modes according to certain criteria. After analyzing large …
route with various transportation modes according to certain criteria. After analyzing large …
Hydra: A personalized and context-aware multi-modal transportation recommendation system
Transportation recommendation is one important map service in navigation applications.
Previous transportation recommendation solutions fail to deliver satisfactory user experience …
Previous transportation recommendation solutions fail to deliver satisfactory user experience …
Incorporating multi-source urban data for personalized and context-aware multi-modal transportation recommendation
Transportation recommendation is one important map service in navigation applications.
Previous transportation recommendation solutions fail to deliver satisfactory user experience …
Previous transportation recommendation solutions fail to deliver satisfactory user experience …
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training
Multi-modal transportation recommendation aims to provide the most appropriate travel
route with various transportation modes according to certain criteria. After analyzing large …
route with various transportation modes according to certain criteria. After analyzing large …
Polestar: An intelligent, efficient and national-wide public transportation routing engine
Public transportation plays a critical role in people's daily life. It has been proven that public
transportation is more environmentally sustainable, efficient, and economical than any other …
transportation is more environmentally sustainable, efficient, and economical than any other …
Advancing Sustainability via Recommender Systems: A Survey
Human behavioral patterns and consumption paradigms have emerged as pivotal
determinants in environmental degradation and climate change, with quotidian decisions …
determinants in environmental degradation and climate change, with quotidian decisions …
Space-efficient, fast and exact routing in time-dependent road networks
We study the problem of quickly computing point-to-point shortest paths in massive road
networks with traffic predictions. Incorporating traffic predictions into routing allows, for …
networks with traffic predictions. Incorporating traffic predictions into routing allows, for …
[HTML][HTML] Multimodal dynamic journey-planning
In this paper, a new model, known as the multimodal dynamic timetable model (DTM), is
presented for computing optimal multimodal journeys in schedule-based public transport …
presented for computing optimal multimodal journeys in schedule-based public transport …
Polestar++: An intelligent routing engine for national-wide public transportation
Public transportation plays a critical role in people's daily life. It has been proven that public
transportation is more environmentally sustainable, efficient, and economical than any other …
transportation is more environmentally sustainable, efficient, and economical than any other …
[HTML][HTML] Inferring spatial distance rankings with partial knowledge on routing networks
D Köppl - Information, 2022 - mdpi.com
The most common problem on routing networks is to compute the shortest paths from a
source vertex to a set of target vertices. A variation of it, with applications for recommender …
source vertex to a set of target vertices. A variation of it, with applications for recommender …