Information Retrieval System for IT Service Desk for Production Line Workers

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F21%3A00008910" target="_blank" >RIV/46747885:24310/21:00008910 - isvavai.cz</a>

Result on the web

<a href="https://mme2021.v2.czu.cz/en/r-16791-news-mme-2021/proceedings-of-the-39-th-international-conference-on-mme-202.html" target="_blank" >https://mme2021.v2.czu.cz/en/r-16791-news-mme-2021/proceedings-of-the-39-th-international-conference-on-mme-202.html</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Information Retrieval System for IT Service Desk for Production Line Workers

Original language description

The information retrieval system gets answers to its users’ questions. As a part of an IT service desk available for the workers at the production line it recognizes a spoken request and selects a proper answer or action for this request. Speech recognition done at the beginning of the process and presentation of the selected answer done in the end of the process is solved using freely available modules for speech recognition and text to speech. The subject of the presented research is the process of selecting answers to recognized questions. The software solving this process is done by the authors of this contribution. The main result of the research is the comparison of two approaches of selecting answers to questions, namely decision tree and neural network. The input of both approaches is the set of keywords recognized in the user’s speech. Due to the lack of real data from a real production line, the training set of keywords and correct answers is generated artificially. The result of the research shows that the neural solution is advantageous when the number of possible answers and the number of keywords in questions is high.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

39th International Conference on Mathematical Methods in Economics (MME 2021) Conference Proceedings

ISBN

978-80-213-3126-6

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

349-354

Publisher name

Czech University of Life Sciences Prague, Kamýcká 129, Prague 6, Czech Republic

Place of publication

Prague, Czech Republic

Event location

Czech University of Life Sciences Prague, Kamýck

Event date

Jan 1, 2021

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000936369700057