Listwise approaches based on feature ranking discovery
Wang, Yongqing2; Mao, Wenji1; Zeng, Daniel1,3; Xia, Fen4
刊名FRONTIERS OF COMPUTER SCIENCE
2012-12-01
卷号6期号:6页码:647-659
关键词learning to rank listwise approach feature's ranking discovery
英文摘要Listwise approaches are an important class of learning to rank, which utilizes automatic learning techniques to discover useful information. Most previous research on listwise approaches has focused on optimizing ranking models using weights and has used imprecisely labeled training data; optimizing ranking models using features was largely ignored thus the continuous performance improvement of these approaches was hindered. To address the limitations of previous listwise work, we propose a quasi-KNN model to discover the ranking of features and employ rank addition rule to calculate the weight of combination. On the basis of this, we propose three listwise algorithms, FeatureRank, BLFeatureRank, and DiffRank. The experimental results show that our proposed algorithms can be applied to a strict ordered ranking training set and gain better performance than state-of-the-art listwise algorithms.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
研究领域[WOS]Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000312193200002
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/3609]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Alibaba Inc, Commercial Prod Dev Dept, Hangzhou 310052, Zhejiang, Peoples R China
3.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
4.Baidu Inc, Union Res & Dev Dept, Beijing 100085, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yongqing,Mao, Wenji,Zeng, Daniel,et al. Listwise approaches based on feature ranking discovery[J]. FRONTIERS OF COMPUTER SCIENCE,2012,6(6):647-659.
APA Wang, Yongqing,Mao, Wenji,Zeng, Daniel,&Xia, Fen.(2012).Listwise approaches based on feature ranking discovery.FRONTIERS OF COMPUTER SCIENCE,6(6),647-659.
MLA Wang, Yongqing,et al."Listwise approaches based on feature ranking discovery".FRONTIERS OF COMPUTER SCIENCE 6.6(2012):647-659.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace