Abstract: Disclosed are techniques for automatically performing topic and interest based content recommendation for mobile devices, which can help the users of mobile computing devices (e.g., smart phones) discover more of the information they want by delivering educated recommendations that are personalized to their interests, in ways that are more natural and comprehensible. More specifically, in some embodiments, techniques described herein include a topic and interest based content recommendation system, which may include several components, such as an automated recommendation server for content available on the Internet (e.g., webpages, applications, and events), and a mobile personalization application which may retrieve various types of data and user inputs from a mobile device, and may present content recommendation to the user (e.g., upon receiving such recommendation from the server).