Bin Wang

Information Systems · with Jones · 2009

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Wang trusts overall

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

  1. Stephen E. Robertson
  2. Radford M. Neal
  3. Chih-Jen Lin
  4. Chengxiang Zhai
  5. W. Bruce Croft
  6. Victor Lavrenko
  7. Jinxi Xu
  8. John Hartigan
  9. Alex Smola

Who trusts Bin Wang overall

  1. Chenyan Xiong
  2. Jamie Callan

Papers from Bin Wang's perspective

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

  1. LIBSVM: A library for support vector machines
  2. Pattern Recognition and Machine Learning
  3. Improving the effectiveness of information retrieval with local context analysis
  4. Okapi at TREC-3
  5. Probabilities for SV Machines
  6. Regularized estimation of mixture models for robust pseudo-relevance feedback
  7. Selecting good expansion terms for pseudo-relevance feedback (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  8. Model-based feedback in the language modeling approach to information retrieval
  9. Simple BM25 extension to multiple weighted fields (International Conference on Information and Knowledge Management)
  10. A k-means clustering algorithm

Their papers