Click-based AI is a learning system based on click-through data, marking a significant departure from traditional user data collection and engagement . Users do not submit personal information, fill out surveys, or disclose their preferences. Instead, an AI is trained by observing exactly how users operate and interact with digital environments. Passive learning enables AI to respond more effectively and in a timely manner to user needs.
With each user’s click method, the AI simultaneously verifies or disqualifies a dataset of billions of clicks and measurements to learn and prepare for future users. Ultimately, users will have a higher degree of personalization with less actual effort. Over time, personalization becomes increasingly customized as the AI learns more and users continue to feed click data into it.
