Next Point-of-Interest (POI) recommendation requires modeling both sequential user behavior and rich contextual signals such as venue category and visit timing. While sequential models effectively capture visit patterns, they often underutilize these cues or rely on fixed-weight fusion that fails to account for varying...
Soyoung Jang, Jaekwang Kim· Proceedings of the 20th ACM...· 0 citations
This work trains a generative PRM that evaluates both dimensions, employs PRM-guided value tree search to construct preference pairs contrasting valid steps against flawed ones, and optimize the policy via step-level Direct Preference Optimization.
Minkeon Kim, Namjun Lee, Jaekwang Kim· 0 citations
This work proposes a retrieval-time token-aware query reformulation method that emphasizes informative query tokens without retraining or changes to the retriever architecture and constructs a focused query embedding by pooling salient tokens while preserving global semantic context.
Seonah Kim, Minkeon Kim, Youjin Lee et al.· International Conference on...· 0 citations
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