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

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

• Type: Conference
• Year: 2006
• Where: EKAW
• Authors: Iván Cantador, Pablo Castells
• Keywords: EKAW 2006, Information Management, Semantic Clusters, Semantic Preference Layers, Semantic Social Network