Fecha de publicación: 14/02/2019 Fuente: Wipo "BigData" The present disclosure discloses a big data based cross-domain recommendation method and apparatus. Correlation between domains and correlation between user behavior characteristics are obtained by connection and cross analysis of a user's online input and offline behaviors in different domains, and content is recommended to the user according to the established correlation. The technical solution of the present disclosure is applied to the precise consumer brand recommendation to users and the precise positioning of potential consumer brand customers in the Internet+retail area. The technical solution can solve a series of problems, such as cross-drainage of users in multiple domains, precise marketing and precise positioning of potential customers, and the effect is very obvious. From the offline simulation test and online real consumption test, the brand recommendation and user positioning accuracy is largely improved, while the GMV of the offline retail is largely improved.