Exploration and discovery of user-generated content in large information spaces
Luca Chiarandini · 2012
The accumulation of large collections of social media data poses new challenges for the design of exploratory experiences, such as when a user browses through a collection to discover content (e.g. exploring photo collections, network of friends, etc). Cardinality and characteristics of the set, together with volatility of the information, resulting from fast and continuous creation, deletion and updating of entries, trigger novel research questions. In this context, we plan to investigate and contribute to the data analysis, and user interface design of exploratory experiences. The proposed approach is an iterative process where analysis and design phases are performed in cycles. The long-term vision is to understand the underlying reasoning in order to be able to automatically replicate it.