THE METHOD OF DYNAMIC DESIGN OF A SEARCH ENGINE BASED ON AUTOMATED ANALYSIS OF USER REQUESTS
DOI:
https://doi.org/10.18372/1990-5548.58.13513Keywords:
Search engine, relevance information, automation, ranking algorithm, search costAbstract
The article describes the method of dynamically designing a search engine based on the analysis of user search queries and automated user's document generation. The advanced method of dynamic search with the account of individual features of users is offered, which allows to increase the cost of search. The service for designing own search engine is created. It replaces the algorithm of ranking on the algorithm for sorting search engines by category using the pseudo relevance feedback method. The information is filled in with a system of successive objects, which is a list. Objects contain key information, these keys allow to set up work with information and increase the relevance of the search. The service contains graphical tools for updating, storing and deleting information in the search engine. An analysis of the configuration of the search service is performed to increase the end-user search cost. There is a conclusion of the results, which indicates the shortcomings of the search engine developer of this system and generated documentation on its use based on the settings for the end user. The sorting system analyzes the end-user request and provides the information it finds, sorted by relevancy. The developed method provides acceleration of the algorithm of the search engine and the quality of the information found for the user.
References
B. J. Jansen, A. Spink, J. Bateman, and T. Saracevic, “Real life information retrieval: A study of user queries on the Web,” ACM SIGIR Forum. 2003, pp. 5–17.
S. Gauch, J. Chaffee, and Pretschner, “Personalized Ranking Algorithm Based on User Interest Modeling,” International Conference on Computer Science and Technology rs. SBN: 978-1-60595-461-5, 2017, pp. 648–655.
Pant Gautam and R. Olivia, “Interest-Based Personalized Search,” The University of Utah. pp. 14–35, 2007.
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, “Introduction to Information Retrieval,” Cambridge University Press. pp. 151– 175, 2008.
Kerckhoff’s principle [Online] https://artofproblemsolving.com/community/c1671h1005760_kerckhoffs_principle
Downloads
How to Cite
Issue
Section
License
The scientific journal “Electronics and control systems” adheres to the principles of Open Access and provides free, immediate, and permanent access to all published materials without financial, technical, or legal barriers for readers.
All articles are published in Open Access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Copyright
Authors who publish their works in the journal “Electronics and control systems”:
-
retain the copyright to their publications;
-
grant the journal the right of first publication of the article;
-
agree to the distribution of their materials under the CC BY 4.0 license;
-
have the right to reuse, archive, and distribute their works (including in institutional and subject repositories), provided that proper reference is made to the original publication in the journal.



