Query expansion is an effective method to the queries in information retrieval.

查询扩展是信息检索中优化查询的一种有效方法.

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This thesis proposes an ontology - initiated scenario - specific query expansion system to solve these problems.

我们提出了基于本体论之场景式的查询扩充系统来改善这些问题.

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Data fusion and relevance feedback based query expansion are two effective methods for information retrieval optimizing.

数据融合和基于相关度反馈的查询扩展是两种有效的检索过程优化技术.

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