Paper Abstract and Keywords |
Presentation |
2016-07-22 11:40
Friend Suggestions Method Based on Node Degree Distribution in Social Recommender System Jin-cheng Zhang (USST), Yasuhiro Urayama, Takuji Tachibana (Univ. of Fukui) NS2016-71 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In some online services such as Amazon, a social recommender system is considered to improve the effective of the recommendation. In the social recommender system, each recommendation of items or businesses is performed based on the friendship of users in a social network. In this paper, we propose a friend suggestions method for the social recommender system in order to propagate the recommendation information of items effectively. The proposed method selects two users based on the node degree distribution in the social network and a rating of each user for each item. For the selected users, the social recommender system suggests that the users have friendship. If the number of friends for each user increases, the recommendation information can be propagated to all users more quickly. We evaluate the performance of the proposed method with simulation and show the effectiveness of the proposed method in some numerical examples. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Social networks / Recommender system / Degree distribution / Hitting time / Information diffusion / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 146, NS2016-71, pp. 109-112, July 2016. |
Paper # |
NS2016-71 |
Date of Issue |
2016-07-13 (NS) |
ISSN |
Print edition: ISSN 0913-5685 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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NS2016-71 |
Conference Information |
Committee |
RCS RCC ASN NS SR |
Conference Date |
2016-07-20 - 2016-07-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Distributed Network, M2M: Machine-to-Machine, D2D (Device-to-Device),etc. |
Paper Information |
Registration To |
NS |
Conference Code |
2016-07-RCS-RCC-ASN-NS-SR |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Friend Suggestions Method Based on Node Degree Distribution in Social Recommender System |
Sub Title (in English) |
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Keyword(1) |
Social networks |
Keyword(2) |
Recommender system |
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Degree distribution |
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Hitting time |
Keyword(5) |
Information diffusion |
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1st Author's Name |
Jin-cheng Zhang |
1st Author's Affiliation |
University of Shanghai for Science and Technology (USST) |
2nd Author's Name |
Yasuhiro Urayama |
2nd Author's Affiliation |
University of Fukui (Univ. of Fukui) |
3rd Author's Name |
Takuji Tachibana |
3rd Author's Affiliation |
University of Fukui (Univ. of Fukui) |
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Speaker |
Author-1 |
Date Time |
2016-07-22 11:40:00 |
Presentation Time |
25 minutes |
Registration for |
NS |
Paper # |
NS2016-71 |
Volume (vol) |
vol.116 |
Number (no) |
no.146 |
Page |
pp.109-112 |
#Pages |
4 |
Date of Issue |
2016-07-13 (NS) |
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