Trust-enhanced visibility for personalized document recommendations

ABSTRACT

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.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Keywords:
personalization, recommender system, trust-enhanced document recommendations, two-layer architecture