Category: .Net

Quality-Aware Sub graph Matching over Inconsistent Probabilistic Graph Databases

Quality-Aware Sub graph Matching over Inconsistent Probabilistic Graph Databases Abstract Resource Description Framework (RDF) has been widely used in the Semantic Web to describe resources and their relationships. The RDF graph is one of the most commonly used representations for RDF data. However, in many real applications such as the data extraction/integration, RDF graphs integrated […]


A Novel Recommendation Model Regularized with User Trust and Item Ratings

A Novel Recommendation Model Regularized with User Trust and Item Ratings Abstract We propose Trust SVD, a trust-based matrix factorization technique for recommendations. Trust SVD integrates multiple information sources into the recommendation model in order to reduce the data sparsity and cold star t problems and their degradation of recommendation performance. An analysis of social […]