Selecting optimal training data for learning to rank
文献类型：期刊论文
| 作者 | Geng, Xiubo2; Qin, Tao1; Liu, Tie-Yan1; Cheng, Xue-Qi2; Li, Hang1 |
| 刊名 | INFORMATION PROCESSING & MANAGEMENT
 |
| 出版日期 | 2011-09-01 |
| 卷号 | 47期号:5页码:730-741 |
| 关键词 | Learning to rank Selecting optimal training data |
| ISSN号 | 0306-4573 |
| DOI | 10.1016/j.ipm.2011.01.002 |
| 英文摘要 | This paper is concerned with the quality of training data in learning to rank for information retrieval. While many data selection techniques have been proposed to improve the quality of training data for classification, the study on the same issue for ranking appears to be insufficient. As pointed out in this paper, it is inappropriate to extend technologies for classification to ranking, and the development of novel technologies is sorely needed. In this paper, we study the development of such technologies. To begin with, we propose the concept of "pairwise preference consistency" (PPC) to describe the quality of a training data collection from the ranking point of view. PPC takes into consideration the ordinal relationship between documents as well as the hierarchical structure on queries and documents, which are both unique properties of ranking. Then we select a subset of the original training documents, by maximizing the PPC of the selected subset. We further propose an efficient solution to the maximization problem. Empirical results on the LETOR benchmark datasets and a web search engine dataset show that with the subset of training data selected by our approach, the performance of the learned ranking model can be significantly improved. (C) 2011 Elsevier Ltd. All rights reserved. |
| WOS研究方向 | Computer Science ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000294087400010 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/12746]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Geng, Xiubo |
| 作者单位 | 1.Microsoft Res Asia, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Geng, Xiubo,Qin, Tao,Liu, Tie-Yan,et al. Selecting optimal training data for learning to rank[J]. INFORMATION PROCESSING & MANAGEMENT,2011,47(5):730-741. |
| APA | Geng, Xiubo,Qin, Tao,Liu, Tie-Yan,Cheng, Xue-Qi,&Li, Hang.(2011).Selecting optimal training data for learning to rank.INFORMATION PROCESSING & MANAGEMENT,47(5),730-741. |
| MLA | Geng, Xiubo,et al."Selecting optimal training data for learning to rank".INFORMATION PROCESSING & MANAGEMENT 47.5(2011):730-741. |
入库方式： OAI收割
来源：计算技术研究所
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