Web: http://arxiv.org/abs/2201.10983

Jan. 27, 2022, 2:11 a.m. | Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu

cs.LG updates on arXiv.org arxiv.org

In this paper, we focus on the problem of modeling dynamic geo-human
interactions in streams for online POI recommendations. Specifically, we
formulate the in-stream geo-human interaction modeling problem into a novel
deep interactive reinforcement learning framework, where an agent is a
recommender and an action is a next POI to visit. We uniquely model the
reinforcement learning environment as a joint and connected composition of
users and geospatial contexts (POIs, POI categories, functional zones). An
event that a user visits …

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