SWAP - Semantic Web Access and Personalization Research Group

Research Interests

Intelligent Information Access

  • Recommender Systems
  • Information Filtering
  • Hybrid Recommendation Strategies
  • Machine Learning Techniques for Recommender Systems


  • User Modeling and Profiling
  • Semantic Web Personalization

Natural Language Processing

  • Lexical Semantics
  • Sentiment Analysis
  • Deep Learning for Natural Language Processing

Information Retrieval

  • Distributional Semantic Models for IR
  • Personalized Retrieval

Semantic Web

  • Knowledge Representation
  • Ontologies
  • Semantic Web Services