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Conference Paper

Fine-Grained Relevance Feedback for XML Retrieval (Demo)

MPS-Authors
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Pan,  Hanglin
Databases and Information Systems, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

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Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Pan, H., Schenkel, R., & Weikum, G. (2008). Fine-Grained Relevance Feedback for XML Retrieval (Demo). In S.-H. Myaeng, D. W. Oard, F. Sebastiani, T.-S. Chua, & M.-K. Leong (Eds.), ACM SIGIR 2008: Thirty-First Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 887-887). New York, NY: ACM.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1BB1-5
Abstract
This demonstration presents an XML IR system that allows users to give feedback of different granularities and types, using Dempster-Shafer theory of evidence to compute expanded and reweighted queries.