Information Retrieval in Trust-Enhanced Document Networks

Abstract. To fight the problem of information overload in huge information sources like large document repositories, e. g. citeseer, or internet websites you need a selection criteria: some kind of ranking is required. Ranking methods like PageRank use the document reference network structure. However, these rankings do not distinguish different reference semantics. We enhance these rankings by incorporating information of a second layer: the author trust network to improve ranking quality and to enable personalized selections.

• Type: Conference
• Year: 2005
• Where: EWMF
• Authors: Klaus Stein, Claudia Hess
• Keywords: Document Reference Network, EWMF 2005, Internet Technology, Large Document Repositories, Ranking