Explore cutting-edge research in point-of-interest (POI) recommendation systems through this conference talk presented at SIGIR 2024. Delve into the innovative approach of disentangled contrastive hypergraph learning for next POI recommendation, as presented by authors Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, and Xingxing Wang. Gain insights into advanced techniques for improving location-based recommendations and understand how hypergraph structures and contrastive learning methods can enhance the accuracy and relevance of POI suggestions.