I. Albert

Recommender Systems · 2002–2003

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom I. Albert trusts overall

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

  1. Paul Resnick
  2. J. Breese
  3. J. Konstan
  4. Jonathan L. Herlocker
  5. Badrul Munir Sarwar

Who trusts I. Albert overall

  1. J. Konstan
  2. John Riedl
  3. Nava Tintarev
  4. Gediminas Adomavicius
  5. Jonathan L. Herlocker
  6. Federico Monti
  7. Nadav Golbandi
  8. Michael D. Ekstrand
  9. Pearl Huan Z. Pu
  10. Mustafa Bilgic

Papers from I. Albert's perspective

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

  1. An algorithmic framework for performing collaborative filtering
  2. Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
  3. Fab: content-based, collaborative recommendation
  4. Eigentaste: A Constant Time Collaborative Filtering Algorithm
  5. Getting to know you: learning new user preferences in recommender systems
  6. Item-based collaborative filtering recommendation algorithms
  7. Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior (ACM Conference on Economics and Computation)
  8. Content-boosted collaborative filtering for improved recommendations
  9. Scientific collaboration networks. I. Network construction and fundamental results. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  10. Bayesian Network Classifiers

Their papers