Now showing items 1-3 of 3

    • Collaborative filtering process in a whole new light 

      Symeonidis P; Nanopoulos A; Papadopoulos A; Manolopoulos Y (IEEE, 2006)
      Collaborative Filtering (CF) Systems are gaining widespread acceptance in recommender systems and e-commerce applications. These systems combine information retrieval and data mining techniques to provide recommendations ...
    • Ontology-based tourism for all recommender and information retrieval system for interactive community displays 

      Alonso K; Zorrilla M; Iñan H; Palau M; Confalonieri R; Vázquez-Salceda J; Calle J; Castro E (IEEE, 2012)
      This paper presents a multi-stage ontology-based touristic recommender system which offers: personalized suggestions to citizens and tourists, including those with special needs; and information concerning the suggested ...
    • Recovering Test-To-Code Traceability Using Slicing and Textual Analysis 

      Qusef, A; Bavota, G; Oliveto, R; Binkley, D; De Lucia, A (Elsevier, 2014)
      Test suites are a valuable source of up-to-date documentation as developers continuously modify them to reflect changes in the production code and preserve an effective regression suite. While maintaining traceability links ...