Automatic adaptation of content for mobile devices is a challenging problem because optimal adaptation often depends on the usage semantics of content, as well as the context of users (e.g., screen size of device being used, network connectivity, location, etc.). UsageawaRe Interactive Content Adaptation (URICA) is an automatic technique that adapts content for mobile devices based on usage semantics. URICA allows a user who is unsatisfied with the system's current adaptation prediction to take control of the adaptation process and make changes until the content is suitably adapted for her purposes. The adaptation system learns from the user's modifications and adjusts its prediction for future accesses by other users. This paper shows that it is possible to exploit user interaction to learn how to adapt content based on context. We introduce Feedback-driven Context Selection (FCS), an automatic technique that leverages user interaction to identify the context that has the m...