Abstract
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. After syntactic analysis of original search query it translated to a search query in a new format. Taking into account, the features of information retrieval query language allow improving the quality of information retrieval. Also, the paper describes the results of experiments that confirm the correctness of the method.
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Acknowledgments
The study was supported by:
the Ministry of Education and Science of the Russian Federation in the framework of the project No. ~2.1182.2017/4.6. Development of methods and means for automation of production and technological preparation of aggregate-assembly aircraft production in the conditions of a multi-product production program;
the Russian Foundation for Basic Research (Grants No. 18-47-730035 and 16-47-732054).
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Yarushkina, N., Filippov, A., Grigoricheva, M. (2019). Using of Linguistic Analysis of Search Query for Improving the Quality of Information Retrieval. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_19
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DOI: https://doi.org/10.1007/978-3-030-12072-6_19
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