This paper describes how the combination of recommendation and Semantic Web techniques can enhance user interaction with digital cultural heritage collections. The interface that this paper describes adapts user interaction to individual interest in both artworks and abstract concepts related to them. This paper presents an overview of several studies that evaluate a recommender system for museum collections. The findings and requirements derived from them form a basic framework for personalized exhibition tours that present multiple cultural artifacts as a structured and cohesive whole.
Cultural Heritage Information Personalization
International Workshop on Personalization Enhanced Access to Cultural Heritage
Human-Centered Data Analytics

Rutledge, L, Aroyo, L, Brussee, R, Stash, N, Cramer, H, Evers, V, & Ramlal, S. (2007). Recommendation with Semantics for Cultural Heritage. In International Workshop on Personalization Enhanced Access to Cultural Heritage.