Component Ranking and Automatic Query Refinement for XML Retrieval | Zendy

Yosi Mass | Zendy; Matan Mandelbrod | Zendy

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Component Ranking and Automatic Query Refinement for XML Retrieval

Author(s) -

Yosi Mass,

Matan Mandelbrod

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-26166-4

DOI - 10.1007/11424550_6

Subject(s) - computer science , ranking (information retrieval) , component (thermodynamics) , xml , information retrieval , data mining , search engine , algorithm , world wide web , physics , thermodynamics

Queries over XML documents challenge search engines to return the most relevant XML components that satisfy the query concepts. In a previous work we described a component ranking algorithm that performed relatively well in INEX'03. In this paper we show an improvement to that algorithm by introducing a document pivot that compensates for missing terms statistics in small components. Using this new algorithm we achieved improvements of 30%-50% in the Mean Average Precision over the previous algorithm. We then describe a general mechanism to apply known Query Refinement algorithms from traditional IR on top of this component ranking algorithm and demonstrate an example such algorithm that achieved top results in INEX'04.

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