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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
技術研究報告に掲載された論文の著作権はIEICEに帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF 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)  
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)  
Keyword(1) Social networks  
Keyword(2) Recommender system  
Keyword(3) Degree distribution  
Keyword(4) 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
Date Time 2016-07-22 11:40:00 
Presentation Time 25 
Registration for NS 
Paper # IEICE-NS2016-71 
Volume (vol) IEICE-116 
Number (no) no.146 
Page pp.109-112 
#Pages IEICE-4 
Date of Issue IEICE-NS-2016-07-13 


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