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Author:

Shen, Qi (Shen, Qi.) | Wang, Sibo (Wang, Sibo.) | Wang, Ran (Wang, Ran.) | Cao, Ke (Cao, Ke.)

Indexed by:

CPCI-S

Abstract:

In recent years, the micro blog in the social networks in China is becoming more and more important, people use micro blog more frequent, people can follow to the people they want to know, and people who have common interests. Based on the analysis and research of the existing micro blog friend recommendation algorithm, this paper proposes a friend recommendation algorithm based on user relationship in micro blog, improve the accuracy of recommendation.

Keyword:

Tags Friend Recommendation Text Classification User Relationship

Author Community:

  • [ 1 ] [Shen, Qi]Beijing Univ Technol, Dept Software Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Sibo]Beijing Univ Technol, Dept Software Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Ran]Beijing Univ Technol, Dept Software Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Cao, Ke]Beijing Univ Technol, Dept Software Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Shen, Qi]Beijing Univ Technol, Dept Software Engn, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL

ISSN: 2352-5401

Year: 2016

Volume: 67

Page: 1533-1538

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

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