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基于一种改进离散度的检索前查询性能预测

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摘要 在缺少相关性判断信息条件下,查询性能预测是为评估检索系统针对特定查询返回结果的有效性。针对检索前预测算法σ1、σ2和σ3只考虑查询词项在各文档间权重差异度不足的问题,提出综合考虑查询词项在各文档间权重大小和差异度大小的检索前预测算法κ1,κ2和κ3。实验结果表明,κ1,κ2和κ3预测算法性能优于σ1,σ2和σ3。
作者 陶永全
出处 《软件导刊》 2015年第9期37-39,共3页 Software Guide
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