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Topics

The topics include, but are not limited to:

  • User behaviour modelling
  • Web mining
  • Collaborative and content based filtering
  • Clustering in recommender systems
  • Hybrid recommender systems
  • Security and trust in recommender systems
  • Ontologies and semantic web technologies for recommender systems
  • Content management and modelling
  • Adaptive user interfaces and personalization techniques
  • Recommender systems in negotiation and auctions
  • Explanation and justification in recommender systems
  • Distributed and peer-to-peer recommender systems
  • Modelling decision making in e-commerce systems
  • Web information gathering
  • Measuring personalization effectiveness
  • Evaluation methods for recommender systems
  • Incorporation of domain knowledge and business processes