Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering

摘要: We propose a multilayered semantic social network model that offers different views of common interests underlying community people. The applicability the proposed to collaborative filtering system is empirically studied. Starting from number ontology-based user profiles and taking into account their preferences, we automatically cluster domain concept space. With obtained clusters, similarities among individuals are identified at multiple preference layers, emergent, layered networks defined, suitable be used in environments content recommenders.