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查询语义图辅助的信息检索性能预测模型

乔亚男 齐勇

电子学报2011,Vol.39Issue(z1):158-162,5.
电子学报2011,Vol.39Issue(z1):158-162,5.

查询语义图辅助的信息检索性能预测模型

Predicting Query Performance Using Semantic Chart

乔亚男 1齐勇1

作者信息

  • 1. 西安交通大学电子与信息工程学院,陕西西安,710049
  • 折叠

摘要

Abstract

The technologies of predicting query performance try to predict the performances of queries before actual time-consuming information retrievals, and adjust the original queries based on the predicting results to improve the performnces without modifying the information needs. For avoiding the terms-independence assumption in traditional query performance predicting models, this paper proposes a query performance predicting model using semantic charts of queries which describe the semantic relations between query terms. The experimental results show that the precisions of semantic charts weighted query performance predicting models are higher than tradifional models significantly,and the relativities between predicting performances and actual performances are improved about 46.32% at most.

关键词

信息检索/查询性能预测/查询语义图/核心词

Key words

infomation retrieval/ query performance predicting/ semantic chart/ core term

分类

信息技术与安全科学

引用本文复制引用

乔亚男,齐勇..查询语义图辅助的信息检索性能预测模型[J].电子学报,2011,39(z1):158-162,5.

基金项目

国家自然科学基金重点项目(No.60933003) (No.60933003)

电子学报

OA北大核心CSCDCSTPCD

0372-2112

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