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FewUser: Few-Shot Social User Geolocation via Contrastive Learning
To address the challenges of scarcity in geotagged data for social user geolocation, we propose FewUser, a novel framework for Few-shot social User geolocation.
Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts
Specifically, a Tweet-Location Contrastive learning objective is introduced to align representations of tweets and locations within tweet-location pairs.
Optimizing Group Utility in Itinerary Planning: A Strategic and Crowd-Aware Approach
Itinerary recommendation is a complex sequence prediction problem with numerous real-world applications.
A Transformer-based Framework for POI-level Social Post Geolocation
POI-level geo-information of social posts is critical to many location-based applications and services.
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