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Study on Query Expansion Model Based on Association Rules Mining |
Huang Mingxuan1 Chen Yanhong2 Zhang Shichao3,4 |
1(Department of Math and Computer Science, Guangxi College of Education, Nanning 530023, China)
2(College of Physical Science, Guangxi University, Nanning 530004 , China)
3(College of Computer Science, Guangxi Normal University, Guilin 541004, China)
4(Faculty of Information Technology, University of Technology, Sydney, Australia) |
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Abstract In order to better apply association rule mining technique to query expansion and find out some better query expansion models, 4 categories of query expansion models with 13 varieties are given based on item-all-weighted association rule mining. Comparison of retrieval performances are made through experiments. Some better query expansion models are discovered.
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Received: 13 August 2007
Published: 25 October 2007
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Corresponding Authors:
Huang Mingxuan
E-mail: h200094@163.com
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About author:: Huang Mingxuan,Chen Yanhong,Zhang Shichao |
[1] Yufeng Jing and W. Bruce Croft. An Association Thesaurus for Information Retrieval[C]. In Proceedings of RIAO 94, 1994:146-160.
[2] Jinxi Xu and W. Bruce Croft. Query Expansion Using Local and Global Document Analysis[C]. In proc. CAN-SIGIR Conference Retrieval, Zurich,Witzerland, 1996: 4-11.
[3] Hang Cui, Ji-Rong Wen, Jian-Yun Nie,et alQuery Expansion by Mining User Logs[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 15, No. 4, July/August 2003: 829-839.
[4] B.M. Fonseca, P.B. Golgher, E.S. de Moura,et al.Discovering Search Engine Related Query Using Association Rules[J]. Journal of Web Engineering 2004,2(4): 215-227.
[5] Chengqi Zhang, Zhenxing Qin, Xiaowei Yan. Association-Based Segmentation for Chinese-Crossed Query Expansion[J]. IEEE Intelligent Informatics Bulletin, June 2005 Vol.5 No.1: 18-25.
[6] Zhenxing Qin, Li Liu ,Shichao Zhang. Mining Term Association Rules for Heuristic Query Construction[C]. Proceedings of 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004: 145-154.
[7] Mathias Géry and M. Hatem Haddad. Knowledge Discovery for Automatic Query Expansion on the World-Wide Web[C]. In: Proceedings of Advances in Conceptual Modeling: ER '99 Workshops, Lecture Notes in Computer Science 1727, Springer, Paris, France, November 15-18,1999: 34-347.
[8] Min Song, Il-Yeol Song , Xiaohua Hu,et al.Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques[C]. DaWaK 2005: 326-335
[9] Jie Wei, Zhenxing Qin, Stéphane Bressan,et al.Mining Term Association Rules for Automatic Global Query Expansion: A Case Study with Topic 202 from TREC4[C]. In Proceedings of Americas Conference on Information Systems , 2000.
[10] 黄名选,严小卫,张师超. 基于文本库的完全加权词间关联规则挖掘算法[J]. 第24届全国数据库学术会议(NDBC2007)录用,广西师范大学学报:自然科学版,2007(4). |
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