基于文摘的信息检索模型-CiteSeerX.PDF

ISSN 1000-9825, CODEN RUXUEW E-mail: jos@ Journal of Software , Vol.19, No.9, September 2008, pp.2329−2338 DOI: 10.3724/SP.J.1001.2008.02329 Tel/Fax: +86-10 © 2008 by Journal of Software . All rights reserved. ∗ 基于文摘的信息检索模型 + 李卫疆 , 赵铁军, 臧文茂 (哈尔滨工业大学 计算机科学与技术学院,黑龙江 哈尔滨 150001) Summary-Based Information Retrieval Model + LI Wei-Jiang , ZHAO Tie-Jun, ZANG Wen-Mao (School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China) + Corresponding author: E-mail: hrbr_richard@163.com Li WJ, Zhao TJ, Zang WM. Summary-Based information retrieval model. Journal of Software, 2008, 19(9):2329−2338. /1000-9825/19/2329.htm Abstract : Summary-Based retrieval is based on the hypothesis that terms in summary should be more important than other terms not in summary. Recent developments in the language modeling approach to information retrieval have motivated the study of this problem within this new retrieval framework. In the proposed research, two approaches to summary-based retrieval, namely ranking documents directly (SQL) and smoothing documents with summaries (SBDM) are investigated. Results on TREC collections show that, with the proposed models, summary-based retrieval models can perform consistently across collections and significant improvements over document-based retrieval can be obtained. There are two main contributions in this paper. On the one hand, summarization method of retrieval-oriented is examed and effect of this method on information retrieval. On the other hand, the new retrieval model for summary-based i