This invention discloses an intelligent recommendation method and
system for group meeting locations based on a large
language model. The method includes: outputting individual and location profiles from the large
language model and inputting them into a spatial optimization model to obtain a group center; setting a search
radius from the group center to generate a candidate location set, along with the individual movement cost and average movement cost corresponding to each candidate location; classifying and semantically annotating the candidate locations with tags to obtain a structured
ranking result, and further generating a structured recommendation result. Thus, individual and location profiles are generated based on
natural language analysis, and the movement cost of individual users to various locations is introduced for reverse weighted iteration to filter and obtain a candidate set with high
accessibility. Then, multi-round chain reasoning is performed using full-process data to select highly feasible recommendation options from the candidate set that align with the interests of the
user group, ensuring that group meetings can be successfully arranged without strong resistance from individual users.