Abstract: This paper analyzed the Internet recommendation system model, combined with the application scenarios of railway passenger transportation extension services such as restaurants, hotels, tourism, and studied the application of recommendation system in railway passenger extension service. Through data analysis of passengers browsing and purchasing behavior records of service products, the paper constructed an intelligent search and personalized recommendation system for extended services to implement the precise push of service products. It can not only effectively improve user experience, improve the quality of railway service, but also expand passenger revenue, maximize railway profit rate, improve industry competitiveness and promote. The transformation and upgrading of passenger service and asset management in the railway. The application results show that the intelligent recommendation system has good application prospects in railway passenger extension service.