Hybrid Recommender Systems: Survey and Experiments

@article{Burke2004HybridRS,
  title={Hybrid Recommender Systems: Survey and Experiments},
  author={R. Burke},
  journal={User Modeling and User-Adapted Interaction},
  year={2004},
  volume={12},
  pages={331-370}
}
  • R. Burke
  • Published 2004
  • Computer Science
  • User Modeling and User-Adapted Interaction
  • Recommender systems represent user preferences for the purpose of suggesting items to purchase or examine. [...] Key Result Further, we show that semantic ratings obtained from the knowledge-based part of the system enhance the effectiveness of collaborative filtering.Expand Abstract
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    References

    SHOWING 1-10 OF 60 REFERENCES
    Knowledge-based recommender systems
    • 749
    • PDF
    Knowledge Based Recommender Systems Using Explicit User Models
    • 149
    • PDF
    Hybrid Recommender Systems for Electronic Commerce
    • 128
    • PDF
    Integrating Knowledge-based and Collaborative-filtering Recommender Systems
    • 156
    • PDF
    Content-based book recommending using learning for text categorization
    • 1,431
    • PDF
    An adaptive Web page recommendation service
    • 278
    • PDF
    Collecting user access patterns for building user profiles and collaborative filtering
    • 132
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    • 5,264
    • PDF
    A Framework for Collaborative, Content-Based and Demographic Filtering
    • M. Pazzani
    • Computer Science
    • Artificial Intelligence Review
    • 2004
    • 1,455
    • Highly Influential
    • PDF
    The Wasabi Personal Shopper: A Case-Based Recommender System
    • 122
    • PDF