Corpus ID: 30808420

Cartes de communautés pour l'adaptation interactive de profils dans un système de filtrage d'information

  title={Cartes de communaut{\'e}s pour l'adaptation interactive de profils dans un syst{\`e}me de filtrage d'information},
  author={An-Te Nguyen and Nathalie Denos and C. Berrut},
  • An-Te Nguyen, Nathalie Denos, C. Berrut
  • Published in INFORSID 2005
  • Computer Science
  • Today, to deal with information overload, more and more efficient tools are needed for information retrieval. In order to get relevant information, users can rely on recommender systems that are based on user profiles. Nevertheless, a change of user interest is not always well accounted for, because of the passive role of users in the majority of existing systems. This paper presents the possibility of using "community maps" for the task of interactive profile adaptation in recommender systems… CONTINUE READING
    6 Citations


    A Taxonomy of Recommender Agents on the Internet
    • 729
    • Highly Influential
    • PDF
    Hybrid Recommender Systems: Survey and Experiments
    • R. Burke
    • Computer Science
    • User Modeling and User-Adapted Interaction
    • 2004
    • 3,529
    • PDF
    A Connection-Centric Survey of Recommender Systems Research
    • 19
    • PDF
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    • 5,152
    • PDF
    Explaining collaborative filtering recommendations
    • 1,469
    • PDF
    Studying Recommendation Algorithms by Graph Analysis
    • 127
    • Highly Influential
    • PDF
    Data clustering: a review
    • 12,937
    • Highly Influential
    • PDF
    On the Performance of Ant-based Clustering
    • 130
    • PDF
    An algorithmic framework for performing collaborative filtering
    • 1,364
    • PDF