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Using Trust and Provenance for Content Filtering on the Semantic Web By Jen Golbeck & Aaron Mannes Maryland Information Network Dynamic Lab University of Maryland, College Park
What are social networks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Web-Based Social Networks (WBSNs) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trust in WBSNs ,[object Object],[object Object],[object Object],[object Object]
Inferring Trust The Goal: Select two individuals - the source (node A) and sink (node C) - and recommend to the source how much to trust the sink. A B C t AB t BC t AC
Trust Algorithm ,[object Object],[object Object]
Film Trust ,[object Object],[object Object]
Applications of Trust ,[object Object],[object Object]
Trust Networks & Intelligence ,[object Object],[object Object],[object Object],[object Object]
Use Case Scenarios ,[object Object],[object Object],[object Object]
Uses for Meta-Data ,[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object]

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  • 1. Using Trust and Provenance for Content Filtering on the Semantic Web By Jen Golbeck & Aaron Mannes Maryland Information Network Dynamic Lab University of Maryland, College Park
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  • 5. Inferring Trust The Goal: Select two individuals - the source (node A) and sink (node C) - and recommend to the source how much to trust the sink. A B C t AB t BC t AC
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