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Removing the mismatch headache in XML keyword search

conference contribution
posted on 2024-10-31, 18:15 authored by Yong Zeng, Zhifeng Bao, Tok Ling, Guoliang Li
In this demo, we study one category of query refinement problems in the context of XML keyword search, where what users search for do not exist in the data while useless results are returned by the search engine. It is a hidden but important problem. We refer to it as the MisMatch problem. We propose a practical yet efficient way to detect the MisMatch problem and generate helpful suggestions to users, namely MisMatch detector and suggester. Our approach can be viewed as a post-processing job of query evaluation. An online XML keyword search engine embedding the MisMatch detector and suggester has been built and is available at [1].

History

Related Materials

  1. 1.
    DOI - Is published in 10.1145/2484028.2484218
  2. 2.
    ISBN - Is published in 9781450320344 (urn:isbn:9781450320344)

Start page

1109

End page

1110

Total pages

2

Outlet

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR 2013)

Editors

Gareth J.F. Jones, Páraic Sheridan, Diane Kelly, Maarten de Rijke, Tetsuya Sakai

Name of conference

SIGIR 2013

Publisher

Association for Computing Machinery

Place published

New York, United States

Start date

2013-07-28

End date

2013-08-01

Language

English

Copyright

© 2013 ACM

Former Identifier

2006050476

Esploro creation date

2020-06-22

Fedora creation date

2015-02-11

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