Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Argumentative Dialogue System for Product Selection in the Sales Industry. / Palchunov, Dmitry E.; Yakobson, Alexander.
International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, 2024. стр. 2350-2355 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Argumentative Dialogue System for Product Selection in the Sales Industry
AU - Palchunov, Dmitry E.
AU - Yakobson, Alexander
N1 - Conference code: 25
PY - 2024
Y1 - 2024
N2 - The paper presents the principles for the design of an intelligent assistant for the sales domain, which is intended to help the customer to find the right product. The user of the system is represented by a three-level model (general knowledge, intentions and representation on the current situation), supplemented by a number of objective and subjective characteristics of the user, formalised in the form of partial models. During the reasoning dialogue, the intelligent assistant identifies the user's needs based on the user's current intentions. Based on the user's needs, the class of tasks to be solved by the user is determined. As a result, the intelligent assistant selects the required solution based on the user's wishes and objections. The results of previous dialogues between the system and other users are used. The user's reactions to the intelligent assistant's decisions can correct the final result of the system's work. The selection of the desired solution is made by comparing partial models formalising the objects of the domain, the classes of tasks and the user's needs. The argumentation and justification of the found solution is based on the correspondence of the partial model of the proposed device with the formal models of the user's needs and the classes of tasks to be solved. The intelligent assistant is able both to conduct a dialogue with the customer independently and to act as an advisor to the sales manager, prompting him with response options and providing references to previous solutions, depending on the context of the dialogue.
AB - The paper presents the principles for the design of an intelligent assistant for the sales domain, which is intended to help the customer to find the right product. The user of the system is represented by a three-level model (general knowledge, intentions and representation on the current situation), supplemented by a number of objective and subjective characteristics of the user, formalised in the form of partial models. During the reasoning dialogue, the intelligent assistant identifies the user's needs based on the user's current intentions. Based on the user's needs, the class of tasks to be solved by the user is determined. As a result, the intelligent assistant selects the required solution based on the user's wishes and objections. The results of previous dialogues between the system and other users are used. The user's reactions to the intelligent assistant's decisions can correct the final result of the system's work. The selection of the desired solution is made by comparing partial models formalising the objects of the domain, the classes of tasks and the user's needs. The argumentation and justification of the found solution is based on the correspondence of the partial model of the proposed device with the formal models of the user's needs and the classes of tasks to be solved. The intelligent assistant is able both to conduct a dialogue with the customer independently and to act as an advisor to the sales manager, prompting him with response options and providing references to previous solutions, depending on the context of the dialogue.
KW - Abductive Reasoning
KW - Argumentation Theory
KW - Argumented Dialog
KW - Intelligent Assistant
KW - Natural Language Processing
KW - Ontological Homomorphism
KW - Partial Model
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85201936791&origin=inward&txGid=b64a7b91b503828b2255cbdb2190c403
UR - https://www.mendeley.com/catalogue/98cd05f2-0f0a-3f57-a7a8-5654a3ec6a88/
U2 - 10.1109/EDM61683.2024.10615020
DO - 10.1109/EDM61683.2024.10615020
M3 - Conference contribution
SN - 9798350389234
T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
SP - 2350
EP - 2355
BT - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
PB - IEEE Computer Society
T2 - 25th IEEE International Conference of Young Professionals in Electron Devices and Materials
Y2 - 28 June 2024 through 2 July 2024
ER -
ID: 60549664