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cs.CR2023
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning
Chung Park, Taekyoon Choi, Taesan Kim +4
A User Next Location Prediction (UNLP) task, which predicts the next location that a user will move to given his/her trajectory, is an indispensable task for a wide range of applic…
cs.AI2023
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation
Chung Park, Taesan Kim, Taekyoon Choi +8
This paper investigates Cross-Domain Sequential Recommendation (CDSR), a promising method that uses information from multiple domains (more than three) to generate accurate and div…
cs.AI2023
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations
Chung Park, Taesan Kim, Junui Hong +2
Pre-training the embedding of a location generated from human mobility data has become a popular method for location based services. In practice, modeling the location embedding is…