Brugerprofiler

Brugerprofiler is a data construct used in information systems to represent information about a user for analysis and service customization. It aggregates attributes and behaviors to enable tailored experiences and efficient decision making by software systems.

A profiler draws on multiple data sources, including demographic data, interaction history, preferences, device characteristics, location data, and behavioral signals collected through websites, apps, and other services.

Profiling methods include statistical analysis, clustering, rule-based scoring, and machine learning that infer interests, likelihood of actions, or risk levels.

Common applications are personalized content and recommendations, targeted messaging, product search ranking, feature experiments, fraud detection, and access control.

Privacy and governance considerations are central. Data subjects should be informed, consent obtained where required, data minimization practiced, retention limited, and rights such as access and rectification respected under laws like the EU's General Data Protection Regulation.