Adaptive time visualisations for recommendation data
In this work you’ll develop time visualisations that present an overview of recommended items and their distribution in time (e.g., happenings that lead to a particular event). The time visualisation should adaptively compress to accommodate restricted screen space, and interactively expand when the user needs to explore data in depth. We are looking for a method that makes the best use of the available screen space at each stage. The data visualised comprises recommendations of cultural, educational, and scientific nature, that should catch the attention of the user while reading, surfing, blogging,etc. You will have to deal with Web-based visualisation technologies, the decision on which technology to use for implementation is yours.