This document discusses data analytics and recommender systems. It provides an overview of research topics related to learning analytics applications and healthcare analytics. Recommender system algorithms like user-based and item-based collaborative filtering are examined. Challenges with contextual recommendation systems are outlined, like standardizing contextual data representation and evaluation. Visualization techniques for recommender systems are proposed to make results more comprehensible to users and allow them to provide feedback to steer the information mining process.