A Taxonomy of Recommender Agents on the Internet

@article{Montaner2004ATO,
  title={A Taxonomy of Recommender Agents on the Internet},
  author={M. Montaner and B. L{\'o}pez and J. Esteva},
  journal={Artificial Intelligence Review},
  year={2004},
  volume={19},
  pages={285-330}
}
  • M. Montaner, B. López, J. Esteva
  • Published 2004
  • Computer Science
  • Artificial Intelligence Review
  • Recently, Artificial Intelligence techniques have proved useful inhelping users to handle the large amount of information on the Internet.The idea of personalized search engines, intelligent software agents,and recommender systems has been widely accepted among users who requireassistance in searching, sorting, classifying, filtering and sharingthis vast quantity of information. In this paper, we present astate-of-the-art taxonomy of intelligent recommender agents on theInternet. We have… CONTINUE READING
    729 Citations
    CONTEXTUAL MODEL OF RECOMMENDING RESOURCES ON AN ACADEMIC NETWORKING PORTAL
    • 3
    • PDF
    A hybrid movie recommender system based on neural networks
    • 94
    • PDF
    Preference Learning in Recommender Systems
    • 51
    • Highly Influenced
    • PDF

    References

    SHOWING 1-10 OF 91 REFERENCES
    Beyond Recommender Systems: Helping People Help Each Other
    • 293
    • PDF
    E-Commerce Recommendation Applications
    • 1,546
    • PDF
    Combining Collaborative Filtering with Personal Agents for Better Recommendations
    • 808
    • PDF
    Ontology based personalized search
    • A. Pretschner, Susan Gauch
    • Computer Science
    • Proceedings 11th International Conference on Tools with Artificial Intelligence
    • 1999
    • 359
    • PDF
    Fab: content-based, collaborative recommendation
    • 2,755
    • Highly Influential
    Evolving agents for personalized information filtering
    • B. Sheth, P. Maes
    • Computer Science
    • Proceedings of 9th IEEE Conference on Artificial Intelligence for Applications
    • 1993
    • 292
    An intelligent agent for high-precision text filtering
    • 17
    • PDF
    Learning Collaborative Information Filters
    • 1,154
    • Highly Influential
    • PDF
    Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    • 5,248
    • PDF