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Argumentative Dialogue System for Product Selection in the Sales Industry Научная публикация

Конференция IEEE 25th International Conference of Young Professionals in Electron Devices and Materials
28 июн. - 2 июл. 2024 , Республика Алтай
Сборник 2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM)
Сборник, 2024. 2673 c. ISBN 979-8-3503-8923-4.
Вых. Данные Год: 2024, Страницы: 2350-2355 Страниц : 6 DOI: 10.1109/EDM61683.2024.10615020
Ключевые слова Abductive Reasoning, Argumentation Theory, Argumented Dialog, Intelligent Assistant Natural, Language Processing, Ontological Homomorphism, Partial Model
Авторы Palchunov Dmitry E. 1 , Yakobson Alexander 2
Организации
1 Laboratory of Computability Theory and Applied Logic Sobolev Institute of Mathematics Novosibirsk, Russia
2 Department of General Informatics Novosibirsk State University Novosibirsk, Russia

Информация о финансировании (1)

1 Институт математики им. С.Л. Соболева СО РАН FWNF-2022-0011

Реферат: 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.
Библиографическая ссылка: Palchunov D.E. , Yakobson A.
Argumentative Dialogue System for Product Selection in the Sales Industry
В сборнике 2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM). 2024. – C.2350-2355. – ISBN 979-8-3503-8923-4. DOI: 10.1109/EDM61683.2024.10615020 Scopus OpenAlex
Даты:
Опубликована в печати: 25 нояб. 2024 г.
Опубликована online: 25 нояб. 2024 г.
Идентификаторы БД:
Scopus: 2-s2.0-85201936791
OpenAlex: W4401329623
Цитирование в БД: Пока нет цитирований
Альметрики: