Using Recommender Systems to Support Navigation in Concept Lattices

Formal Concept Analysis (FCA) is a prominent field of Applied Mathematics grounded on the formalization of the notions of concept and concept hierarchy. Based on the expressive power of the graphical representation of knowledge clusters as order diagrams, FCA is an expanding field, rooted now mainly in Knowledge Discovery and AI. This paper is devoted to a new idea for concept lattice navigation, based on recommender systems and a local navigation approach. By this we overcome one of the main problems in this field and propose an intelligent navigation assistant through the conceptual hierarchy. At each step, the visualization is limited to a local view consisting of three levels in the concept lattice and a recommender system provides the necessary navigation assistance.