Abstract: A cognitive Web browser detects that a user is viewing a Web page. The system captures contextual data that identifies the user, the Web page, temporal information, and the user's computer, location, and browser. Using artificially intelligent cognitive analytics, the system correlates the contextual data with patterns inferred from the user's past browsing habits to predict which page the user may want to view next and the paths to each of those destination. The system ranks each page on each path by its probability of being selected and displays the ranked pages as a dynamic hyperlinked list. The user may directly navigate to any of displayed pages with a single selection from the list. The contextual information, the dynamic list, and the user's selection are forwarded to a machine-learning application that uses the forwarded information to train the system to more accurately predict the user's future navigational preferences.