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combining strategies for xml retrieval
Gao Ning; Deng Zhi-Hong; Jiang Jia-Jian; Lv Sheng-Long; Yu Hang
2011
Conference Name9th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2010
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages319-331
Conference Date1-Dec
Conference PlaceVught, Netherlands
Indexed TypeEI
Publish PlaceGermany
ISSN3029743
ISBN9783642235764
Department(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
English AbstractThis 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.
KeywordFeedback Search Engines Xml
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/14341
Collection基础软件与系统重点实验室
Recommended Citation
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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