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Volumn , Issue , 2009, Pages 1863-1866

Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection

Author keywords

Experimentation; Measurement; Pseudo relevance feedback; Query expansion; Retrievability; Text clustering

Indexed keywords

APPLICATION DOMAINS; CLUSTER-BASED; CUT-OFF; DOCUMENT CLUSTERING; DOCUMENT SELECTION; LEGAL DOCUMENTS; PATENT DOCUMENTS; PSEUDO RELEVANCE FEEDBACK; QUERY EXPANSION; QUERY RESULTS; RELEVANT DOCUMENTS; RETRIEVAL MODELS; RETRIEVAL SYSTEMS; TEXT CLUSTERING;

EID: 74549185718     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646250     Document Type: Conference Paper
Times cited : (47)

References (13)
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    • Automated categorization in the international patent classification
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  • 5
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    • B. C. M. Fung, K. Wang, M. Ester. Hierarchical document clustering using frequent itemsets. In Proc. of SDM' 03, 2003, USA.
    • B. C. M. Fung, K. Wang, M. Ester. Hierarchical document clustering using frequent itemsets. In Proc. of SDM' 03, 2003, USA.
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    • C. Jordan, C. Wattters, Q. Gao. Using controlled query generation to evaluate blind relevance feedback algorithms. In Proc. of JCDL '06, 2006, USA.
    • C. Jordan, C. Wattters, Q. Gao. Using controlled query generation to evaluate blind relevance feedback algorithms. In Proc. of JCDL '06, 2006, USA.
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    • K. Konishi. Query terms extraction from patent document for invalidity search. In Proc. of NTCIR '05, 2005, Japan.
    • K. Konishi. Query terms extraction from patent document for invalidity search. In Proc. of NTCIR '05, 2005, Japan.
  • 9
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    • K. S. Lee, W. B. Croft, J. Allan. A cluster-based resampling method for pseudo-relevance feedback. In Proc. of SIGIR '08, 2008, Singapore.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.