Zhaohui Zheng

Affiliations:
  • Yahoo! Labs, Sunnyvale, CA, USA
  • State University of New York at Buffalo, NY, USA (PhD)


According to our database1, Zhaohui Zheng authored at least 45 papers between 2002 and 2013.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2013
A New Algorithm for Inferring User Search Goals with Feedback Sessions.
IEEE Trans. Knowl. Data Eng., 2013

2012
An Online Learning Framework for Refining Recency Search Results with User Click Feedback.
ACM Trans. Inf. Syst., 2012

Multi-task learning to rank for web search.
Pattern Recognit. Lett., 2012

Optimizing user exploring experience in emerging e-commerce products.
Proceedings of the 21st World Wide Web Conference, 2012

2011
Ranking function adaptation with boosting trees.
ACM Trans. Inf. Syst., 2011

Refining Recency Search Results with User Click Feedback
CoRR, 2011

Like like alike: joint friendship and interest propagation in social networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Learning to model relatedness for news recommendation.
Proceedings of the 20th International Conference on World Wide Web, 2011

Scalable clustering of news search results.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Learning to re-rank web search results with multiple pairwise features.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Collaborative competitive filtering: learning recommender using context of user choice.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010
Time is of the essence: improving recency ranking using Twitter data.
Proceedings of the 19th International Conference on World Wide Web, 2010

Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM.
Proceedings of the 19th International Conference on World Wide Web, 2010

IntervalRank: isotonic regression with listwise and pairwise constraints.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Towards recency ranking in web search.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Early exit optimizations for additive machine learned ranking systems.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Active learning for ranking through expected loss optimization.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Learning Recurrent Event Queries for Web Search.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking.
Proceedings of the COLING 2010, 2010

Online learning for recency search ranking using real-time user feedback.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

User behavior driven ranking without editorial judgments.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Ranking with auxiliary data.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Optimizing unified loss for web ranking specialization.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Session Based Click Features for Recency Ranking.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Comparing both relevance and robustness in selection of web ranking functions.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Global ranking by exploiting user clicks.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Enhancing topical ranking with preferences from click-through data.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Empirical Exploitation of Click Data for Task Specific Ranking.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Stochastic gradient boosted distributed decision trees.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Incorporating robustness into web ranking evaluation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Multi-task learning for learning to rank in web search.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Investigation of partial query proximity in web search.
Proceedings of the 17th International Conference on World Wide Web, 2008

Adapting ranking functions to user preference.
Proceedings of the 24th International Conference on Data Engineering Workshops, 2008

Query-level learning to rank using isotonic regression.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007
A regression framework for learning ranking functions using relative relevance judgments.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

A General Boosting Method and its Application to Learning Ranking Functions for Web Search.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Incorporating query difference for learning retrieval functions in information retrieval.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Incorporating query difference for learning retrieval functions in world wide web search.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2004
Feature selection for text categorization on imbalanced data.
SIGKDD Explor., 2004

Document Representation for One-Class SVM.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
A Feature Selection Framework for Text Filtering.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Text Categorization Using Modified-CHI Feature Selection and Document/Term Frequencies.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002


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