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. 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.
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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. 18-47-732007 and 18-47-730019).
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Yarushkina, N., Filippov, A., Grigoricheva, M., Moshkin, V. (2019). The Method for Improving the Quality of Information Retrieval Based on Linguistic Analysis of Search Query. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_43
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DOI: https://doi.org/10.1007/978-3-030-20915-5_43
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