Recent advances in technology have made it possible to easily amass large collections of digital media. These media offer new opportunities and place great demands for new digital content user-interface and management systems which can help people construct, organize, navigate, and share digital collections in an interactive, face-to-face social setting. In this chapter, we have developed a user-centric algorithm for visualization and layout for content-based image retrieval (CBIR) in large photo libraries. Optimized layouts reflect mutual similarities as displayed on a two-dimensional (2D) screen, hence providing a perceptually intuitive visualization as compared to traditional sequential one-dimensional (1D) content-based image retrieval systems. A frameworkfor user modeling also allows our system to learn and adapt to a user’s preferences. The resulting retrieval, browsing and visualization can adapt to the user’s (time-varying) notions of content, context and preferences in style and interactive navigation.
FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization
