The Method for Improving the Quality of Information Retrieval Based on Linguistic Analysis of Search Query

被引：0

作者：

Yarushkina, Nadezhda ^{[1
]}

Filippov, Aleksey ^{[1
]}

Grigoricheva, Maria ^{[1
]}

Moshkin, Vadim ^{[1
]}

机构：

[1] Ulyanovsk State Tech Univ, St Severny Venets 32, Ulyanovsk 432027, Russia

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2019, PT II | 2019年 / 11509卷

基金：

俄罗斯基础研究基金会;

关键词：

Information retrieval; Syntactic analysis; Search queries;

D O I：

10.1007/978-3-030-20915-5_43

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper describes the process of research and development of methods for linguistic analysis of search queries. Linguistic analysis of search query is used to improve the quality of information retrieval. Original search query translated to a search query in a new format after syntactic analysis. Using the features of query language allow improving the quality of information retrieval. Also, the paper describes the results of experiments that confirm the correctness of the method.

引用

页码：474 / 485

页数：12

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Yarushkina, Nadezhda ;

Filippov, Aleksey ;

Moshkin, Vadim .

CREATIVITY IN INTELLIGENT TECHNOLOGIES AND DATA SCIENCE, (CIT&DS), 2017, 754 :62-72

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