User Profiling: Development Process and Applications in Data Intelligence

With the end of traffic dividends and rising acquisition costs, businesses have entered a refined user‑operation stage where user profiling—creating detailed tags for user habits, behaviors, and attributes—is crucial.

By labeling these characteristics, a comprehensive user portrait is built, enabling ad recommendation, content distribution, activity marketing, and forming the foundation of big‑data technologies.

Raw behavior data cannot be directly analyzed; after tagging, both humans and machines can intuitively understand users, supporting personalized recommendation, search, precise ad targeting, and intelligent marketing.

The development workflow for user profiling includes: 1) designing the tag taxonomy, 2) confirming data sources, 3) collecting data, 4) validating data, 5) producing tags, 6) deploying tags, and 7) providing tag services.

The article invites readers to follow the public account and download the full "Data Intelligence Knowledge Map," which covers data collection, governance, architecture, capabilities, and applications across four major domains and five modules, spanning traditional technologies and emerging fields such as cloud‑native, causal inference, and pre‑training.

It emphasizes that data‑intelligence practitioners can understand the knowledge boundaries, managers can see how data intelligence adds value, and career‑switchers can grasp the fundamental components of the field.

References: 1. https://zhuanlan.zhihu.com/p/28485415 2. https://www.51cto.com/article/669421.html