Abstract
The existing travel information on the Internet is cluttered, repetitive, and singular. It cannot provide tourists with accurate travel information and help tourists plan their trips rationally. To this end, this article establishes a travel planning system based on artificial intelligence. This article conducted a multi-threaded performance test for the route search submodule, and tested the tendency of the vertical search crawler to crawl the webpage as the number of multi-threads increased. In addition, this article conducted a stress test to test the system’s increase in the number of concurrent users. System performance changes. The test results show that the system function basically meets the needs of users, and has good stability and efficiency.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
