A bed and breakfast (typically shortened to B&B) is a small lodging establishment that offers overnight accommodation and breakfast. At present, the design strategy of B&B is generally based on the personal views of B&B operators or interior designers, rather than the actual market data. Thus, the determination of design strategy is always divorced from the actual sales data of B&B. In this study, the optimal design strategy of B&B will be figured out based on the analysis of the comments data and operation data of B&B with methods of text mining and machine learning. The B&B design strategy based on text mining and machine learning would be more consistent with the consumer needs of users and business needs of B&B operators. It is a future evolution method of design to formulate design strategies for B&B based on big data and artificial intelligence.

Path search is a hot issue in computer science and artificial intelligence science. When the user enters the starting point and ending point to be queried in the road network path search system, the system will return the best path to the user. In this paper, the road network path search system that can run and calculate the optimal navigation path to the test data is developed by designing the software architecture through the comprehensive use of database design, programming language, shortest path algorithm, UML diagram, software development model, GIS system source data, and other methods. Based on the software design principles of scalability, flexibility, and pluggability, the design and code in this paper can be practically applied to various systems such as GIS, GPS, logistics robots, unmanned aerial vehicles, and autonomous vehicles to realize their road network path planning and navigation functions.