Zheng Chen
Artificial Intelligence · with Mohan · 2010
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
Whom Zheng Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Niko Speybroeck
- Olivier Chapelle
- C. Burges
- Kalervo Järvelin
- Ping Li
- Trevor J. Hastie
- Thorsten Joachims
- Zhaohui Zheng
- Leo Breiman
Who trusts Zheng Chen overall
Papers from Zheng Chen's perspective
Ordered by how strongly the researchers Zheng Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Greedy function approximation: A gradient boosting machine.
- Optimizing search engines using clickthrough data
- Learning to rank using gradient descent
- Cumulated gain-based evaluation of IR techniques
- Random Forests
- Classification and regression trees
- A General Boosting Method and its Application to Learning Ranking Functions for Web Search
- McRank: Learning to Rank Using Multiple Classification and Gradient Boosting
- Expected reciprocal rank for graded relevance
- From RankNet to LambdaRank to LambdaMART: An Overview
Their papers
- Web-Search Ranking with Initialized Gradient Boosted Regression Trees (2010) — 165 citations