combining strategies for xml retrieval

	combining strategies for xml retrieval
	Gao Ning; Deng Zhi-Hong; Jiang Jia-Jian; Lv Sheng-Long; Yu Hang
	2011
会议名称	9th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2010
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	319-331
会议日期	1-Dec
会议地点	Vught, Netherlands
收录类别	EI
出版地	Germany
ISSN	3029743
ISBN	9783642235764
部门归属	(1) Key Laboratory of Machine Perception (Ministry of Education), School of Electronic Engineering and Computer Science, Peking University, China; (2) State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
摘要	This paper describes Peking University's approaches to the Ad Hoc, Data Centric and Relevance Feedback track. In Ad Hoc track, results for four tasks were submitted, Efficiency, Restricted Focused, Relevance In Context and Restricted Relevance In Context. To evaluate the relevance between documents and a given query, multiple strategies, such as Two-Step retrieval, MAXLCA query results, BM25, distribution measurements and learn-to-optimize method are combined to form a more effective search engine. In Data Centric track, to gain a set of closely related nodes that are collectively relevant to a given keyword query, we promote three factors, correlation, explicitnesses and distinctiveness. In Relevance Feedback track, to obtain useful information from feedbacks, our implementation employs two techniques, a revised Rocchio algorithm and criterion weight adjustment. © 2011 Springer-Verlag.
关键词	Feedback Search Engines Xml
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/14341
专题	基础软件与系统重点实验室
推荐引用方式 GB/T 7714	Gao Ning,Deng Zhi-Hong,Jiang Jia-Jian,et al. combining strategies for xml retrieval[C]. Germany,2011:319-331.

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