A transparent Recommendation and Interest Modeling Application
A transparent Recommendation and Interest Modeling Application (RIMA)
The goal of the transparent Recommendation and Interest Modeling Application (RIMA) is to recommend items (e.g. tweets, Twitter users, publications, researchers, conferences) and leverage explanatory visualizations to explain the recommendations (output) as well as the underlying interest models (input). RIMA follows a user-driven personalized explanation approach by providing explanations with different levels of detail and empowering users to steer the explanation process the way they see fit. Further, the application provides on-demand explanations, that is, the users can decide whether or not to see the explanation and they can also choose which level of explanation detail they want to see.