Neil J. Hurley

Information Systems · 2002–2015

A researcher in the Science corpus: 8 papers; trusts 39 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Neil J. Hurley trusts overall

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

  1. Jonathan L. Herlocker
  2. J. Konstan
  3. J. Breese
  4. Paul Resnick
  5. John Riedl
  6. Badrul Munir Sarwar
  7. Santo Fortunato
  8. George Karypis
  9. Mark Newman
  10. Jon M. Kleinberg

Who trusts Neil J. Hurley overall

  1. Shyong K. Lam
  2. Laming Chen
  3. Harald Steck
  4. Marina Drosou
  5. Bamshad Mobasher
  6. Sophie Ahrens
  7. John Riedl
  8. Ihsan Günes
  9. Guoxin Zhang
  10. Matevz Kunaver

Papers from Neil J. Hurley's perspective

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

  1. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  2. Using collaborative filtering to weave an information tapestry
  3. Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
  4. Evaluating collaborative filtering recommender systems
  5. An algorithmic framework for performing collaborative filtering
  6. An open architecture for collaborative filtering of netnews
  7. Improving recommendation lists through topic diversification
  8. Authoritative sources in a hyperlinked environment
  9. Item-based collaborative filtering recommendation algorithms
  10. Latent Dirichlet Allocation

Their papers