The inundation of recommendation information has seriously affected the user experience of mobile intelligent terminal, while the limited computing environment restricts the research on the filtering model and algorithm of mobile recommendation information. A mobile recommendation information filtering algorithm based on limited computing environment is proposed by combining user portrait technology and information filtering method. The algorithm constructs user profile through user trajectory information, filters all kinds of information recommended by the outside world according to user profile and demand characteristics, and finally recommends information the second time. The simulation results show that the algorithm has high filtering accuracy and strong personalized service ability. It needn’t occupy too much system computing and storage resources, and has high cost performance. It is suitable for the limited computing environment of mobile intelligent terminal, and has certain practicability.