Abstract: “This paper explains the implementation of a mobile application solution on iOS to track future events and interests relevant to brands, weather, entertainment, leisure, persons followed, disaster, etc. and throw fragmented information threads to users using predictive analysis, push notifications, concepts of web mining and semantic web. Public APIs and XML, Json feeds have been used to gather data and push technology transfers processed information threads matched with objects of interests based on the user's predictive analysis. The utility of such a system is to rush the tracked information to the individuals in real time for better activity scheduling and informed decision making. The user's social graph, online activity, mobile data, time of day, location, historical search patterns are selectively accessed for insights into user's behavioral patterns to estimate user's future interests hierarchy. The solution can also be used to generate useful analytics for enterprises.”

Keywords: push notification, predictive analysis, mobile iOS app development, semantic web, web mining