Trust-enhanced visibility for personalized document recommendations

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. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval Keywords trust-enhanced document recommendations, recommender system, two-layer architecture, personalization

• Type: Conference
• Year: 2006
• Where: SAC
• Authors: Claudia Hess, Klaus Stein, Christoph Schlieder
• Keywords: Applied Computing, Document, Document Reference Network, SAC 2006, Visibility Measure