Guangming Xing

2006–2008

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

Whom Guangming Xing trusts

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

  1. Paul Resnick (in Recommender Systems)
  2. Vladimir Naumovich Vapnik (in Statistical Learning Theory)

Papers from Guangming Xing's perspective

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

  1. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  2. Statistical learning theory
  3. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  4. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  5. Learning Collaborative Information Filters
  6. An open architecture for collaborative filtering of netnews
  7. Recommendation as Classification: Using Social and Content-Based Information in Recommendation
  8. Item-based collaborative filtering recommendation algorithms
  9. A Tutorial on Support Vector Machines for Pattern Recognition
  10. On the recommending of citations for research papers

Their papers