SOCIAL NETWORK ANALYSIS WITH PRIOR KNOWLEDGE AND NON-NEGATIVE TENSOR FACTORIZATION

摘要

Systems and methods are disclosed to analyze a social network by generating a data tensor from social networking data; applying a non-negative tensor factorization (NTF) with user prior knowledge and preferences to generate a core tensor and facet matrices; and rendering information to social networking users based on the core tensor and facet matrices.