Paper Abstract and Keywords |
Presentation |
2023-07-22 11:00
Extracting User Needs for Personalized Smart Services Using Dialogue Agent with LLM Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SS2023-19 KBSE2023-30 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Research on service personalization involves approaches such as machine learning and dialogue agents, but the explainability of the recommendation process remains a challenge. Previous studies proposed a dialogue-based needs extraction system using the 6W1H needs model, but complex needs extraction was difficult with simple natural language processing. In this study, we focus on developing an API that extracts user needs from natural language using large-scale language models (LLMs) and constructing a dialogue-based needs extraction system using the API. We conducted verification on 100 needs to evaluate the accuracy and comprehensiveness of the output results from the needs extraction and restoration API. This study enables accurate and comprehensive extraction of needs from complex natural language using LLMs. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Personalization / Needs / Large-scale language model / Natural language processing / Dialogue agent / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 124, KBSE2023-30, pp. 104-109, July 2023. |
Paper # |
KBSE2023-30 |
Date of Issue |
2023-07-13 (SS, KBSE) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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SS2023-19 KBSE2023-30 |
Conference Information |
Committee |
SS KBSE IPSJ-SE |
Conference Date |
2023-07-20 - 2023-07-22 |
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(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
KBSE |
Conference Code |
2023-07-SS-KBSE-SE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Extracting User Needs for Personalized Smart Services Using Dialogue Agent with LLM |
Sub Title (in English) |
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Keyword(1) |
Personalization |
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Needs |
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Large-scale language model |
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Natural language processing |
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Dialogue agent |
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1st Author's Name |
Takuya Nakata |
1st Author's Affiliation |
Kobe University (Kobe Univ.) |
2nd Author's Name |
Sinan Chen |
2nd Author's Affiliation |
Kobe University (Kobe Univ.) |
3rd Author's Name |
Sachio Saiki |
3rd Author's Affiliation |
Kochi University of Technology (Kochi Univ. of Tech.) |
4th Author's Name |
Masahide Nakamura |
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Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-07-22 11:00:00 |
Presentation Time |
25 minutes |
Registration for |
KBSE |
Paper # |
SS2023-19, KBSE2023-30 |
Volume (vol) |
vol.123 |
Number (no) |
no.123(SS), no.124(KBSE) |
Page |
pp.104-109 |
#Pages |
6 |
Date of Issue |
2023-07-13 (SS, KBSE) |