Learning to Rank
for Information Retrieval
Tie-Yan Liu
Microsoft Research Asia

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Learning to Rank
Hang Li
Microsoft Research Asia

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劉鐵巖博士，現(xiàn)任微軟亞洲研究院研究項(xiàng)目主管(lead researcher)。他是排序?qū)W習(xí)領(lǐng)域的知名專家，已在國(guó)際頂級(jí)期刊和會(huì)議上發(fā)表相關(guān)論文70余篇。他著有專著《信息檢索中的排序?qū)W習(xí)問(wèn)題》和《高階異構(gòu)數(shù)據(jù)挖掘》。他持有50余項(xiàng)美國(guó)專利或申請(qǐng)。他的論文曾獲得國(guó)際信息檢索大會(huì)(SIGIR)最佳學(xué)生論文獎(jiǎng)，和國(guó)際期刊《視覺(jué)通信和圖像表示》的最高引用論文獎(jiǎng)。他是國(guó)際計(jì)算機(jī)輔助搜索會(huì)議(RIAO) 2010年度的程序委員會(huì)主席，國(guó)際信息檢索大會(huì)(SIGIR)2008和2009年度的領(lǐng)域主席(Area Chair)，亞洲信息檢索會(huì)議(AIRS) 2009年度的領(lǐng)域主席。同時(shí)他還擔(dān)任國(guó)際期刊《信息檢索》的編委(Editorial Board Member)，和數(shù)十個(gè)國(guó)際期刊的審稿專家。他是包括WWW, SIGIR, ICML, ACL, ICIP等在內(nèi)的三十幾個(gè)國(guó)際會(huì)議的程序委員會(huì)成員(Program Committee Member)，是國(guó)際排序?qū)W習(xí)研討會(huì)(LR4IR)2007，2008，和2009年度的聯(lián)合主席(Co-chair)，是《信息檢索》期刊的排序?qū)W習(xí)特刊的客座主編(Guest Editor)。他曾經(jīng)在WWW和SIGIR等國(guó)際會(huì)議上做關(guān)于排序?qū)W習(xí)的主題講座(tutorial)。劉鐵巖畢業(yè)于清華大學(xué)電子工程系，加入微軟之前從事視頻信息處理方面的研究工作。

劉鐵巖博士的代表作如下:

Learning to Rank

1. Tie-Yan Liu. Learning to Rank for Information Retrieval, Foundation and Trends on Information Retrieval, Now Publishers, 2009.

2. Fen Xia, Tie-Yan Liu, Hang Li, Statistical Consistency of Top-k Ranking, NIPS 2009.

3. Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhiming Ma, Hang Li, Ranking Measures and Loss Functions in Learning to Rank, NIPS 2009.

4. Tao Qin, Tie-Yan Liu, Xudong Zhang, and Hang Li. Global Ranking Using Continuous Conditional Random Fields, NIPS 2008.

5. Yanyan Lan, Tie-Yan Liu, Zhiming Ma, and Hang Li. Generalization Analysis of Listwise Learning to Rank Algorithms, ICML 2009.

6. Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, and Hang Li. Listwise Approach to Learning to Rank: Theorem and Algorithm, ICML 2008.

7. Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, and Hang Li. Query-level Stability and Generalization in Learning to Rank, ICML 2008.

8. Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li. Learning to Rank: From Pairwise Approach to Listwise Approach. ICML 2007.

9. Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, Hang Li, and Heung-Yeung Shum. Query-dependent Ranking using K-Nearest Neighbor, SIGIR 2008.

10. Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, and Wei-Ying Ma. Directly Optimizing IR Evaluation Measures in Learning to Rank, SIGIR 2008.

11. Tao Qin, Tie-Yan Liu, Jun Xu, and Hang Li. Making LETOR More Useful and Reliable, LR4IR 2008, in conjunction with SIGIR 2008.

12. Xiubo Geng, Tie-Yan Liu, Tao Qin, and Hang Li. Feature Selection for Ranking, SIGIR 2007.

13. Mingfeng Tsai, Tie-Yan Liu, Tao Qin, Hsin-Hsi Chen, and Wei-Ying Ma. FRank: A Ranking Method with Fidelity Loss, SIGIR 2007.

14. Tao Qin, Tie-Yan Liu, Wei Lai, Xu-Dong Zhang, De-Sheng Wang, and Hang Li. Ranking with Multiple Hyperplanes, SIGIR 2007.

15. Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, and Hang Li. LETOR: Benchmark dataset for research on learning to rank for information retrieval, LR4IR 2007, in conjunction with SIGIR 2007.

16. Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang and Hsiao-Wuen Hon. Adapting Ranking SVM to Document Retrieval, SIGIR 2006.

17. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Wen-Ying Xiong, and Hang Li. Learning to Rank Relational Objects and Its Application to Web Search, WWW 2008. Yuting Liu, Tie-Yan Liu, Tao Qin, Zhi-Ming Ma, and Hang Li. Supervised Rank Aggregation, WWW 2007.

18. Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, and Hang Li. Query-level Loss Function for Information Retrieval. Information Processing and Management, 2007.

Web Search

1. Yuting Liu, Tie-Yan Liu, Zhiming Ma, and Hang Li. A Framework to Compute Page Importance based on User Behaviors, Information Retrieval Journal, 2009.

2. Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, and Hang Li. BrowseRank: Letting Web Users Vote for Page Importance, SIGIR 2008. [SIGIR Best Student Paper Award]

3. Guang Feng, Tie-Yan Liu, Ying Wang, Ting Bao, Zhiming Ma, Xu-Dong Zhang, and Wei-Ying Ma. AggregateRank: Bringing Order to Websites, SIGIR 2006.

4. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Zheng Chen, and Wei-Ying Ma. A Study on Relevance Propagation for Web Search, SIGIR 2005.

5. Qiankun Zhao, Chuhong Hoi, Tie-Yan Liu, Sourav Bhowmick, Michael Lyu, and Wei-Ying Ma. Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data, WWW 2006.

6. Qiankun Zhao, Tie-Yan Liu, Sourav Bhowmick, and Wei-Ying Ma. Event Detection from Evolution of Click-through Data, KDD 2006.

7. Bin Gao, Tie-Yan Liu, Xin Zheng, Qian-Sheng Cheng, and Wei-Ying Ma. Consistent Bipartite Graph Co-Partitioning for Star-Structured High-Order Heterogeneous Data Co-Clustering, KDD 2005.

8. Ying Bao, Guang Feng*, Tie-Yan Liu, Zhiming Ma, and Ying Wang. Ranking Websites: A Probabilistic View, Internet Mathematics, 2007.

9. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Geng, De-Sheng Wang, and Wei-Ying Ma. Topic Distillation Via Subsite Retrieval, Information Processing and Management, 2006.

10. Bin Gao, Tie-Yan Liu, Guang Feng, Tao Qin, Qian-Sheng Cheng, and Wei-Ying Ma. Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Co-partitioning, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2005.

11. Tie-Yan Liu, Yiming Yang, Hao Wan, Hua-Jun Zeng, Zheng Chen, and Wei-Ying Ma. Support Vector Machines Classification with Very Large Scale Taxonomy, SIGKDD Explorations, 2005.

Multimedia

1. Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, and Hong-Jiang Zhang. An Active Feedback Framework for Image Retrieval, Pattern Recognition Letters, 2007.

2. Bin Gao, Tie-Yan Liu, Qian-Sheng Cheng, and Wei-Ying Ma. Web Image Clustering by Consistent Utilization of Visual Features and Surrounding Texts, ACM Multimedia 2005.

3. Tie-Yan Liu, Kwok-Tung Lo, Xu-Dong Zhang, and Jian Feng. A New Cut Detection Algorithm with Constant False-Alarm Ratio for Video Segmentation, Journal of Visual Communications and Image Representation, 2004. [Most Cited Paper Award]

4. Tie-Yan Liu, Xu-Dong Zhang, Jian Feng, and Kwok-Tung Lo. Shot Reconstruction Degree: a Novel Criterion for Key Frame Selection, Pattern Recognition Letters, 2004.

5. Tie-Yan Liu, Kwok-Tung Lo, Jian Feng, and Xu-Dong Zhang. Frame Interpolation Scheme Using Inertia Motion Prediction. Signal Processing: Image Communication, 2003.

6. Tie-Yan Liu, Jian Feng, Xu-Dong Zhang, and Kwok-Tung Lo. Inertia-based Cut Detection and Its Integration with Video Coder. IEE Proceedings on Vision, Image and Signal Processing, 2003..

http://research.microsoft.com/en-us/people/tyliu/

from:http://www.shamoxia.com/html/y2009/466.html

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