| Paper Abstract and Keywords |
| Presentation |
2023-11-18 10:20
Towards Standardized Data Model for Service Recommendation Based on User Needs Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) KBSE2023-44 SC2023-27 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Due to the internet's proliferation, digital devices, and COVID-19's impact, online service use has soared, driving demand for transparent recommendation systems. This paper introduces a system blending virtual agent interactions with a new service data model, targeting explainable recommendations. The architecture emphasizes needs-service matching in three steps: extraction, alignment, and presentation, using a 6W1H model for diverse daily services. Case studies confirm its efficacy, suggesting the system's potential in aiding users' informed choices. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
service / recommendation system / explainable AI / needs / HCI / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 271, SC2023-27, pp. 57-62, Nov. 2023. |
| Paper # |
SC2023-27 |
| Date of Issue |
2023-11-10 (KBSE, SC) |
| 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 |
KBSE2023-44 SC2023-27 |
| Conference Information |
| Committee |
KBSE SC |
| Conference Date |
2023-11-17 - 2023-11-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Sento Kaikan |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
General |
| Paper Information |
| Registration To |
SC |
| Conference Code |
2023-11-KBSE-SC |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Towards Standardized Data Model for Service Recommendation Based on User Needs |
| Sub Title (in English) |
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| Keyword(1) |
service |
| Keyword(2) |
recommendation system |
| Keyword(3) |
explainable AI |
| Keyword(4) |
needs |
| Keyword(5) |
HCI |
| Keyword(6) |
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| Keyword(8) |
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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 |
2023-11-18 10:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
SC |
| Paper # |
KBSE2023-44, SC2023-27 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.270(KBSE), no.271(SC) |
| Page |
pp.57-62 |
| #Pages |
6 |
| Date of Issue |
2023-11-10 (KBSE, SC) |