Fernando Díez

Information Systems · 2013

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Fernando Díez trusts overall

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

  1. Yehuda Koren
  2. Jonathan L. Herlocker
  3. J. Konstan
  4. Gediminas Adomavicius
  5. Sylvain Arlot
  6. Robin D. Burke
  7. Badrul Munir Sarwar
  8. Neal Kiritkumar Lathia
  9. John Riedl
  10. Lieven De Lathauwer

Who trusts Fernando Díez overall

  1. Massimo Quadrana

Papers from Fernando Díez's perspective

Ordered by how strongly the researchers Fernando Díez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Evaluating collaborative filtering recommender systems
  2. An algorithmic framework for performing collaborative filtering
  3. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  4. Collaborative filtering with temporal dynamics
  5. Improving recommendation lists through topic diversification
  6. The Netflix Prize
  7. Performance of recommender algorithms on top-n recommendation tasks
  8. Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
  9. Hybrid Recommender Systems: Survey and Experiments
  10. Is seeing believing?: how recommender system interfaces affect users' opinions (International Conference on Human Factors in Computing Systems)

Their papers