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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:

2018年03期

Page:

35-

Research Field:

·人工智能算法与应用专栏·

Publishing date:

Info

Title:

Research of Social Recommendation Method Based onOverlapping Community Detection

Author(s):

Hu Yun¹; Zhang Shu²; She Kankan¹; Li Hui³; 4; Shi Jun³

(1.College of Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China)(2.Business School,Huaihai Institute of Technology,Lianyungang 222005,China)(3.Department of Computer Science,Huaihai Institute of Technology,Lianyungang 222005,China)(4.Marine Resources Development Institute of Jiangsu,Lianyungang 222005,China)

Keywords:

social network; recommendation; overlapping; community; detection

PACS:

TP391

DOI:

10.3969/j.issn.1001-4616.2018.03.006

Abstract:

Collaborative filtering algorithms have become one of the most popular approaches to provide personalized services for users to deal with large amounts of information. This paper proposes a new social recommendation methods based on overlapping community discovery. The algorithm considers both the interest of the group users and their complex internal relations. In order to achieve the detection,establishment coalition of overlapping community and intelligent recommendation based on community,it innovates and integrates overlapping community discovery algorithm and social recommendation algorithm based on the model. Based on the open data set,this paper designs a series of the related experiments to validate the accuracy and effectiveness of the algorithm. Experimental results show that the proposed algorithm can achieve highly efficient and accurate social network recommendation.

References:

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Memo

Memo:

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Common functions

Last Update: 2018-11-19