Ranking of Search Requests in the Digital Information Retrieval System Based on Dynamic Neural Networks

Author:

Bartosova Viera1ORCID,Drobyazko Svetlana2ORCID,Bogachov Sergii3ORCID,Afanasieva Olga4ORCID,Mikhailova Maria5ORCID

Affiliation:

1. University of Zilina, Univerzitna 8215, 010 26, Zilina, Slovakia

2. The European Academy of Sciences Ltd., 71-75 Shelton Street, London WC2H 9JQ, UK

3. Financial University Under the Government of the Russian Federation, 49 Leningradsky Prospekt, Moscow 125993, Russia

4. Moscow Aviation Institute (National Research University), Volokolamskoe Shosse 4, Moscow 125993, Russia

5. Medical Sciences, Sechenov First Moscow State Medical University, 8-2 Trubetskaya Str., Moscow 119991, Russia

Abstract

The article is devoted to the problem of optimization of search request ranking algorithms in the digital information retrieval system. The algorithm of functioning of the neural network ranking unit based on Hopfield neural network is built. The ability to generate a ranked list of pages found as a result of the request in the digital information retrieval system can be provided by solving two problems of integer optimization: the problem of assignment of combinatorial sets of criteria for assessing the relevance of web page search and the problem of sorting of numbers—relevance values. The architecture of the neural network model based on the dynamic Hopfield neural network with binary output function designed for combinatorial optimization of the final list of documents found in the digital information retrieval system was synthesized. Promising variants of neural network models with binary output function of neurons for synthesis of the optimal evaluation plan with a combinatorial set of criteria by solving the problem of assignment were built. It has been proven that the built models differ in the rules for determining the coefficients of synaptic connections and external shifts; each of the created rules can be used independently or in different combinations with one another. In the course of analytical research, it was found that the optimization formulation of the problem of sorting of relevance values of search pages is identical to the problem of assignment of combinatorial groups of evaluation criteria provided that the elements of the performance matrix of the latter are defined as linear combinations of relevance values.

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Reference43 articles.

1. Effective information retrieval system;V. Maurya;International Journal of Emerging Technology and Advanced Engineering,2013

2. Elements of Information Theory

3. Spoken query processing for interactive information retrieval

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Company strategic change management in the open innovation system;Journal of Open Innovation: Technology, Market, and Complexity;2023-06

2. Research on the application of MOSL information retrieval method in educational resource management;International Journal of Knowledge-Based Development;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3