Proximity-aware Scoring for XML Retrieval

Broschart, Andreas; Schenkel, Ralf

doi:10.1145/1390334.1390535

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Proximity-aware Scoring for XML Retrieval

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Broschart, Andreas
Databases and Information Systems, 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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引用

Broschart, A., & Schenkel, R. (2008). Proximity-aware Scoring for XML Retrieval. In S.-H., Myaeng, D. W., Oard, F., Sebastiani, T.-S., Chua, & M.-K., Leong (Eds.), ACM SIGIR 2008 (pp. 845-846). New York, NY: ACM. doi:10.1145/1390334.1390535.

引用: https://hdl.handle.net/11858/00-001M-0000-0027-AEFA-E

要旨

Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML IR, we can sometimes enhance the retrieval efficacy by exploiting knowledge about the document structure combined with established text IR methods. This paper elaborates on our approach used for INEX 2008 which modifies a proximity scoring model from text retrieval for usage in XML IR and extends it by taking the document structure information into account.