Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Valuation of Trust in Open Networks
ESORICS '94 Proceedings of the Third European Symposium on Research in Computer Security
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
A trust-enhanced recommender system application: Moleskiing
Proceedings of the 2005 ACM symposium on Applied computing
Architecture and algorithms for a distributed reputation system
iTrust'03 Proceedings of the 1st international conference on Trust management
Key figure impact in trust-enhanced recommender systems
AI Communications - Recommender Systems
Trust-based recommendations for documents
AI Communications - Recommender Systems
Efficient calculation of personalized document rankings
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Sequence-based trust in collaborative filtering for document recommendation
International Journal of Human-Computer Studies
Information retrieval in trust-enhanced document networks
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Novel personal and group-based trust models in collaborative filtering for document recommendation
Information Sciences: an International Journal
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Documents are recommended by computer-based systems normally according to their prominence in the document reference network. Based on the requirements identified in a concrete use case for recommending scientific publications, the paper claims that merely measuring prominence is insufficient for high quality recommendations. We propose to use information from a trust network in addition to the document network in order to improve and to personalize recommendations. A trust-enhanced visibility measure integrates trust information and the classical reference based measures. A simulation study applies the new visibility measure to the presented use case.