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In recent years, applying building information modeling (BIM) digital technologies to cultural heritage management, monitoring, restoration, with the objective of advancing the sustainable development of both cultural heritage protection and tourism in China, has become a prominent research focus. However, there are a few studies that comprehensively investigate the relationship between BIM, Chinese cultural heritage, and sustainable tourism development. In order to explore the application of BIM in the protection and inheritance of Chinese cultural heritage, as well as its potential in promoting the sustainable development of cultural heritage tourism, this paper adopts the quantitative research method of bibliometrics to explore the research hotspots, development background, and evolution trends of BIM-driven sustainable development in Chinese cultural heritage tourism. By using data obtained from the China Knowledge Network database, multi-level bibliometrics analysis has been conducted through visualized knowledge graphs. The results suggest that the popular research keywords for driving sustainable cultural heritage tourism in China through BIM since year 2000 (23 years) include heritage tourism, heritage protection, building heritage, digital technology, and tourism development. Three research hotspots have been identified, which are cultural heritage protection, cultural heritage tourism development, and cultural heritage tourism management. In terms of tourism development and management, building virtual interactive scenes of cultural heritage facilitated by BIM to enhance tourism experience of tourists, using BIM to assist in efficient management, intelligent decision-making, and personalized services of cultural heritage tourism, assist in better promoting the sustainable development of cultural heritage tourism. In terms of coordinating and managing stakeholders in cultural heritage tourism, BIM technology provides technical support to the government, industry managers, and community residents in information communication, and industry management by constructing a digital model of cultural heritage to better balance the rights and interests of stakeholders. Full article

Facing the massive tourism data, the recommendation system mines the user’s interest to provide a personalized information service. The Knowledge Graph is introduced into a recommendation system, as auxiliary information can effectively solve the problems about data sparse and cold-start. Therefore, this paper proposes a new algorithm of personalized Chinese tourism recommendation based on the Knowledge Graph. First of all, because lack of the public Chinese tourism Knowledge Graph, a complete Chinese tourism Knowledge Graph is built. Secondly, a new B-TransD (Bernoulli-TransD) knowledge representation model is proposed to reduce the probability of false negative triples. Finally, the method of user interest model based on the attribute information of users and tourist attractions is proposed to improve the performance of the recommendation system. Experiments are conducted on a data set containing 9100 tourist attractions. The experimental results demonstrate that the proposed algorithm achieves significant improvement over the existing algorithms. Full article