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题名:
a unified iterative optimization algorithm for query model and ranking refinement
作者: Huang Yunping ; Sun Le ; Nie Jian-Yun
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: 6th Asia Information Retrieval Societies Conference, AIRS 2010
会议日期: 40878
出版日期: 2010
会议地点: Taipei, Taiwan
关键词: Algorithms ; Computational linguistics ; Information retrieval ; Infrared devices ; Iterative methods ; Optimization ; Search engines ; Vector spaces
出版地: Germany
收录类别: EI
ISSN: 3029743
ISBN: 3642171869
部门归属: (1) Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Université de Montréal, Montréal, QC, Canada
主办者: National Science Council; Ministry of Education
英文摘要: Document ranking and query model estimation can be considered as optimization problems. In this paper, we propose an iterative algorithm for optimizing query model and ranking function simultaneously in the context of language model and vector space model, respectively. This algorithm extends the risk minimization framework by incorporating manifold structure of word graph and document graph, and it provides a unified formulation of several existing heuristics for document ranking and query modeling. Moreover, we extend our algorithm by incorporating users true feedback information, and derive a new ranking model. Experimental results on four TREC collections show that our model is effective. © 2010 Springer-Verlag.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8636
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Huang Yunping,Sun Le,Nie Jian-Yun. a unified iterative optimization algorithm for query model and ranking refinement[C]. 见:6th Asia Information Retrieval Societies Conference, AIRS 2010. Taipei, Taiwan. 40878.
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