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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. p. 2350-2355 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Palchunov, DE & Yakobson, A 2024, Argumentative Dialogue System for Product Selection in the Sales Industry. in International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM, IEEE Computer Society, pp. 2350-2355, 25th IEEE International Conference of Young Professionals in Electron Devices and Materials, Russian Federation, 28.06.2024. https://doi.org/10.1109/EDM61683.2024.10615020

APA

Palchunov, D. E., & Yakobson, A. (2024). Argumentative Dialogue System for Product Selection in the Sales Industry. In International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM (pp. 2350-2355). (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM). IEEE Computer Society. https://doi.org/10.1109/EDM61683.2024.10615020

Vancouver

Palchunov DE, Yakobson A. Argumentative Dialogue System for Product Selection in the Sales Industry. In International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society. 2024. p. 2350-2355. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM). doi: 10.1109/EDM61683.2024.10615020

Author

Palchunov, Dmitry E. ; Yakobson, Alexander. / Argumentative Dialogue System for Product Selection in the Sales Industry. International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, 2024. pp. 2350-2355 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

BibTeX

@inproceedings{ecf7e0d07e8048cebfb093016de94706,
title = "Argumentative Dialogue System for Product Selection in the Sales Industry",
abstract = "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.",
keywords = "Abductive Reasoning, Argumentation Theory, Argumented Dialog, Intelligent Assistant, Natural Language Processing, Ontological Homomorphism, Partial Model",
author = "Palchunov, {Dmitry E.} and Alexander Yakobson",
note = "The study was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (project no. FWNF-2022-0011).; 25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024 ; Conference date: 28-06-2024 Through 02-07-2024",
year = "2024",
doi = "10.1109/EDM61683.2024.10615020",
language = "English",
isbn = "9798350389234",
series = "International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM",
publisher = "IEEE Computer Society",
pages = "2350--2355",
booktitle = "International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM",
address = "United States",
url = "https://edm.ieeesiberia.org/",

}

RIS

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