Xinlong Bao

Information Systems · 2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinlong Bao trusts overall

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

  1. Michael J. Pazzani
  2. Ken Lang
  3. Robin D. Burke
  4. J. Konstan
  5. Bradley N. Miller
  6. Gediminas Adomavicius
  7. Jonathan L. Herlocker

Papers from Xinlong Bao's perspective

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

  1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  2. A Framework for Collaborative, Content-Based and Demographic Filtering
  3. NewsWeeder: Learning to Filter Netnews
  4. GroupLens: applying collaborative filtering to Usenet news
  5. Hybrid Recommender Systems: Survey and Experiments
  6. An open architecture for collaborative filtering of netnews
  7. Fab: content-based, collaborative recommendation
  8. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  9. Information filtering and information retrieval: two sides of the same coin?
  10. Learning Collaborative Information Filters

Their papers