Fine-grained relevance feedback for XML retrieval

ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Volumn , Issue , 2008, Pages 887-

  Pan, Hanglin ^a   Schenkel, Ralf ^a   Weikum, Gerhard ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

Dempster shafer theory; Relevance feedback; XML IR

Indexed keywords

CONTROL THEORY; DATA FUSION; FORMAL LOGIC; INFORMATION RETRIEVAL; INFORMATION SERVICES; MARKUP LANGUAGES; RESEARCH AND DEVELOPMENT MANAGEMENT; SENSOR DATA FUSION; XML;

DEMPSTER SHAFER THEORY; DEMPSTER-SHAFER THEORIES; IR SYSTEMS; RELEVANCE FEEDBACK; RELEVANCE FEEDBACKS; XML RETRIEVALS;

FEEDBACK;

EID: 57349185550     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390561     Document Type: Conference Paper

References (4)

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4. M. Theobald, H. Bast, D. Majumdar, R. Schenkel, and G. Weikum. Topx: efficient and versatile top- k query processing for semistructured data. VLDB J., 17(1):81-115, 2008.