This invention discloses an
artificial intelligence-based method for constructing a cross-hotel guest
social network, belonging to the field of
network construction technology. This invention constructs a multi-layered, three-dimensional
social profile network structure, capable of comprehensively capturing guests' behavioral patterns and emotional state changes in various functional areas of the hotel, improving matching accuracy and guest satisfaction with their social experience. Simultaneously, by constructing a cross-hotel social relationship network graph and introducing a node influence index evaluation mechanism, this invention enables the
system to identify guests' potential value and
connectivity in the
social network, constructing a complete
social network containing multi-level relationships, and achieving intuitive matching of cross-hotel guest behavioral patterns based on vectorized analysis technology of behavioral feature graphs.