Ruiqiang Zhang

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruiqiang Zhang trusts

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

  1. Jerome H. Friedman (in Artificial Intelligence)
  2. Thorsten Joachims (in Artificial Intelligence)
  3. Fernando Diaz (in Artificial Intelligence)
  4. Jon M. Kleinberg (in Computer Networks and Communications)

Papers from Ruiqiang Zhang's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Bursty and Hierarchical Structure in Streams (Data mining and knowledge discovery)
  3. Optimizing search engines using clickthrough data
  4. Learning to rank using gradient descent
  5. Cumulated gain-based evaluation of IR techniques
  6. Identifying similarities, periodicities and bursts for online search queries
  7. Association for Computational Linguistics: Human Language Technologies
  8. Ranking a stream of news
  9. Integration of news content into web results
  10. A General Boosting Method and its Application to Learning Ranking Functions for Web Search

Their papers