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Found 4 papers, 0 papers with code
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning
Previous studies using large-scale trajectory datasets in a single server have achieved remarkable performance in UNLP task.
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation
This paper investigates Cross-Domain Sequential Recommendation (CDSR), a promising method that uses information from multiple domains (more than three) to generate accurate and diverse recommendations, and takes into account the sequential nature of user interactions.
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations
To tackle this problem, we propose a Geo-Tokenizer, designed to efficiently reduce the number of locations to be trained by representing a location as a combination of several grids at different scales.
PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction
Understanding the movement patterns of objects (e. g., humans and vehicles) in a city is essential for many applications, including city planning and management.
