User portrait is a process of extracting * * * features from various data of users through data analysis and mining. As the foundation of big data, user portrait perfectly abstracts a user's information panorama, which provides sufficient data foundation for further accurate and rapid analysis of important information such as user behavior habits and consumption habits, and lays the cornerstone of the era of big data.

User portrait is to find the target customers of potential products on the basis of understanding customer needs, consumption power and customer credit line, and to develop products for customers by using portrait information. When it comes to user portraits, many brands will mention all-round user portraits. In fact, all-round user portrait is an advertising language. Without data at all, users can be fully described and thoroughly understood. People are very complicated animals, and the latitude of information is very complicated. External information alone cannot describe the inner needs of customers.

The word user portrait has a heavy scene factor, and different enterprises have different understandings and needs for user portrait. For example, the financial industry and the automobile industry have completely different information requirements for user portraits, different information latitudes and different requirements for portrait results. Every industry has a set of user portrait methods suitable for its own industry, but its core is to serve customers and business scenarios.