Miguel A. Rueda-Morales

Information Systems · 2010

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miguel A. Rueda-Morales trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Robin D. Burke
  2. Michael J. Pazzani
  3. Thomas Hofmann
  4. Jonathan L. Herlocker
  5. Raymond J. Mooney

Papers from Miguel A. Rueda-Morales's perspective

Ordered by how strongly the researchers Miguel A. Rueda-Morales trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  2. Content-based book recommending using learning for text categorization
  3. Item-based collaborative filtering recommendation algorithms
  4. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  5. Evaluating collaborative filtering recommender systems
  6. Content-boosted collaborative filtering for improved recommendations
  7. An algorithmic framework for performing collaborative filtering
  8. Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments (Conference on Uncertainty in Artificial Intelligence)
  9. A Framework for Collaborative, Content-Based and Demographic Filtering
  10. Hybrid Web Recommender Systems (The Adaptive Web)

Their papers