How would you define a software application that adapts to user preferences over time?

A software application that adapts to user preferences over time is best defined as a Smart Assistant. Such applications leverage machine learning and AI algorithms to analyze user interactions and behavior patterns, allowing them to personalize experiences and recommendations. This ability to learn from user preferences and make adjustments enhances user engagement and satisfaction, making the application more intuitive and efficient in serving the individual needs of users.

Smart Assistants often integrate natural language processing and can refine their responses as they gather more data about users. This dynamic nature contrasts sharply with static applications, which do not have the capability to change or customize based on user input or behavior. Legacy applications are typically older software that may not offer modern capabilities like adaptation or personalization, while custom applications are developed for specific needs but do not inherently imply adaptive qualities. The defining characteristic of a Smart Assistant is its ability to evolve and better serve its user base over time through continuous learning and adaptation.