Abstract: Permanent residence is an important factor of passenger’s consumption ability and income level, which is conducive to accomplish personalized recommendation. According to the travel data of Railway Ticketing and Reservation System, this article designed an intelligent recognition algorithm to infer the railway passenger’s permanent residence through logical judgment and probability statistics, used Scala language to implement algorithm on large data platform of railway passenger transport. Based on the case study of railway passenger travel data in recent two years, the conclusion shows that the algorithm is effective and the recognition rate of passenger permanent residence is 67.7%.