Trust Networks for Recommender Systems (Atlantis Computational Intelligence Systems, #4)

by Patricia Victor, Chris Cornelis, and Martine De Cock

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This book describes research performed in the context of trust/distrust propagation and aggregation, and their use in recommender systems. This is a hot research topic with important implications for various application areas. The main innovative contributions of the work are:
-new bilattice-based model for trust and distrust, allowing for ignorance and inconsistency
-proposals for various propagation and aggregation operators, including the analysis of mathematical properties
-Evaluation of these operators on real data, including a discussion on the data sets and their characteristics.
-A novel approach for identifying controversial items in a recommender system
-An analysis on the utility of including distrust in recommender systems
-Various approaches for trust based recommendations (a.o. base on collaborative filtering), an in depth experimental analysis, and proposal for a hybrid approach
-Analysis of various user types in recommender systems to optimize bootstrapping of cold start users.
  • ISBN10 9491216082
  • ISBN13 9789491216084
  • Publish Date 1 January 2011
  • Publish Status Active
  • Out of Print 9 June 2015
  • Publish Country US
  • Imprint Atlantis Press
  • Format eBook
  • Pages 209
  • Language English