Research on public library user profile based on conceptual grid in the context of cultural and tourism integration

Abstract

This study aims to enhance the cultural tourism service capabilities of public libraries to meet the diverse cultural tourism needs of users. To achieve this goal, Python was used to obtain user review data of the National Library of China from the Dianping website, and based on these data, a conceptual model of public library cultural tourism user portraits was constructed. This model covers three dimensions: user natural attributes, user needs, and user travel scenarios. Subsequently, the Lattice Miner 2.0 tool was used to construct user segmentation label concept lattices, and the user groups were divided into four categories through the Hasse diagram of the concept lattice: tourist check-in and novelty seekers, leisure and entertainment enjoyers, reading, learning and advanced study enthusiasts, and parent-child activity experiencers. Thus, the construction of public library group user portraits was realized. The research shows that through in-depth mining and clustering analysis, these four types of user groups and their unique cultural tourism needs can be clearly identified. This user-oriented research perspective focuses on the overall process of user portrait construction, which not only helps to optimize the cultural tourism service level of public libraries but also significantly improves user satisfaction, demonstrating important practical value and innovative significance.