Abstract: C2B(customer to business) customization is one of the important directions for the transformation and upgrading of manufacturing enterprises. However, the current development of personalized customization is weak, and intelligent recommendation isn’t introduced in the process to assist the user in customization. In order to guide the user's product customization and decision making, enabling him to accurately describe his own needs and improve the customization efficiency, an intelligent recommendation algorithm is introduced in the personalized customization. Based on the original article-based collaborative filtering recommendation algorithm, a step-by-step intelligent recommendation algorithm suitable for C2B personalized customization is proposed. A car customization case is introduced to simulate and calculate the algorithm and generate the recommended results, which proves the effectiveness and practicability of the algorithm.