The system for selecting suppliers based on user requirements
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43911348" target="_blank" >RIV/62156489:43110/17:43911348 - isvavai.cz</a>
Výsledek na webu
<a href="https://ece.pefka.mendelu.cz/sites/default/files/imce/ECE2017_fin.pdf" target="_blank" >https://ece.pefka.mendelu.cz/sites/default/files/imce/ECE2017_fin.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The system for selecting suppliers based on user requirements
Popis výsledku v původním jazyce
The Google service delivered a breakthrough customer experience. It has not been necessary to browse through a large catalogue of web pages to find a company solving a particular problem. The user just simply wrote a plain question and received related sources. The service understood users' requests. Later there came personal assistants like Siri or Alexa. Both being able to understand our straightforward questions. We dare to argue that many users are not willing to adjust their ways of communication with the computer or service to its needs, they anticipate that the service will be able to adjust for them. Our paper presents a service focused primarily on the recommendation of workers such as plumbers or home teachers or service providers such as finance or grant advisors. The service is based on natural language processing and the whole design is user centered. We outline our design approach as well as the service architecture. Moreover, we describe the key issues we have met during the development and recommend a viable solution.
Název v anglickém jazyce
The system for selecting suppliers based on user requirements
Popis výsledku anglicky
The Google service delivered a breakthrough customer experience. It has not been necessary to browse through a large catalogue of web pages to find a company solving a particular problem. The user just simply wrote a plain question and received related sources. The service understood users' requests. Later there came personal assistants like Siri or Alexa. Both being able to understand our straightforward questions. We dare to argue that many users are not willing to adjust their ways of communication with the computer or service to its needs, they anticipate that the service will be able to adjust for them. Our paper presents a service focused primarily on the recommendation of workers such as plumbers or home teachers or service providers such as finance or grant advisors. The service is based on natural language processing and the whole design is user centered. We outline our design approach as well as the service architecture. Moreover, we describe the key issues we have met during the development and recommend a viable solution.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Enterprise and Competitive Environment: Conference Proceedings
ISBN
978-80-7509-499-5
ISSN
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e-ISSN
neuvedeno
Počet stran výsledku
10
Strana od-do
673-682
Název nakladatele
Mendelova univerzita v Brně
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
9. 3. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000427306200070