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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)
Download PDF SS2023-19 KBSE2023-30

Conference Information
Committee SS KBSE IPSJ-SE  
Conference Date 2023-07-20 - 2023-07-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (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)  
Keyword(1) Personalization  
Keyword(2) Needs  
Keyword(3) Large-scale language model  
Keyword(4) Natural language processing  
Keyword(5) 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  
4th Author's Affiliation 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
Date of Issue 2023-07-13 (SS, KBSE) 


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