Large Language Models for Next Point-of-Interest Recommendation - Tutorial 2.4

Explore the application of Large Language Models in Next Point-of-Interest (POI) Recommendation through this 16-minute conference talk presented at SIGIR 2024. Delve into the research conducted by authors Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, and Flora D. Salim as they discuss innovative approaches to enhancing POI recommendation systems using advanced language models. Gain insights into how these models can improve the accuracy and relevance of suggested locations for users based on their preferences and historical data. Learn about the potential impact of this technology on various industries, including tourism, local business discovery, and personalized location-based services.

SIGIR 2024 T2.4 [fp] Large Language Models for Next Point-of-Interest Recommendation