THE METHOD OF DYNAMIC DESIGN OF A SEARCH ENGINE BASED ON AUTOMATED ANALYSIS OF USER REQUESTS

Authors

  • І. V. Kolomiets National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
  • L. M. Oleshchenko National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

DOI:

https://doi.org/10.18372/1990-5548.58.13513

Keywords:

Search engine, relevance information, automation, ranking algorithm, search cost

Abstract

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.

Author Biographies

І. V. Kolomiets, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Department of Computer Systems Software

Student

L. M. Oleshchenko, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Department of Computer Systems Software

Candidate of Science (Engineering). Associate Professor

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

Issue

Vol. 4 No. 58 (2018)

Section

COMPUTER-AIDED DESIGN SYSTEMS

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