2 papers
cs.CL2025
AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning
Xiaobin Ren, Xinyu Zhu, Kaiqi Zhao
Currently, considerable strides have been achieved in Point-of-Interest (POI) embedding methodologies, driven by the emergence of novel POI tasks like recommendation and classifica…
cs.IR2024
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
Xinyu Zhu, Lilin Zhang, Ning Yang
Personalized fairness in recommendations has been attracting increasing attention from researchers. The existing works often treat a fairness requirement, represented as a collecti…