a unified iterative optimization algorithm for query model and ranking refinement
文献类型：会议论文
| 作者 | Huang Yunping ; Sun Le ; Nie Jian-Yun |
| 出版日期 | 2010 |
| 会议名称 | 6th Asia Information Retrieval Societies Conference, AIRS 2010 |
| 会议日期 | 40878 |
| 会议地点 | Taipei, Taiwan |
| 关键词 | Algorithms Computational linguistics Information retrieval Infrared devices Iterative methods Optimization Search engines Vector spaces |
| 页码 | 514-526 |
| 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. |
| 收录类别 | EI |
| 会议主办者 | National Science Council; Ministry of Education |
| 会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 |
| 会议录出版地 | Germany |
| ISSN号 | 3029743 |
| ISBN号 | 3642171869 |
| 源URL | [http://124.16.136.157/handle/311060/8636]  |
| 专题 | 软件研究所_基础软件国家工程研究中心_会议论文 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：软件研究所
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