Ya Zhang
Information Systems · with Chapelle · 2009
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 20 citations into it; #619 of 8,771 by trust here, #1,392 by citations
- Artificial Intelligence — 11 citations into it; #12,415 of 35,345 by trust here, #15,004 by citations
- Information Retrieval & Search — 10 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Ya Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Georges Dupret
- Eugene Agichtein
- Zhaohui Zheng
- C. Burges
- Benjamin Piwowarski
- Andrei Z. Broder
- Kalervo Järvelin
Who trusts Ya Zhang overall
- Xuanhui Wang
- Lihong Li
- Katja Hofmann
- Aleksandr Chuklin
- C. Clarke
- Ricardo A. Baeza-Yates
- Olivier Chapelle
- Sebastian Proksch
- Qiwen Liu
- Kai Hui
Papers from Ya Zhang's perspective
Ordered by how strongly the researchers Ya Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- A taxonomy of web search (SIGF)
- Learning to rank using gradient descent
- Cumulated gain-based evaluation of IR techniques
- Learning user interaction models for predicting web search result preferences (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
- Accurately interpreting clickthrough data as implicit feedback
- Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
- How does clickthrough data reflect retrieval quality?
- A dynamic bayesian network click model for web search ranking
- Adapting ranking SVM to document retrieval (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
- Predicting clicks: estimating the click-through rate for new ads (The Web Conference)
Their papers
- Expected reciprocal rank for graded relevance (2009) — 926 citations
- A dynamic bayesian network click model for web search ranking (2009) — 597 citations