User recommendation based on cross-platform online social networks

Jian PENG; Tuntun WANG; Yu CHEN; Tang LIU; Wenzheng XU

doi:10.11959/j.issn.1000-436x.2018044

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User recommendation based on cross-platform online social networks

Papers | 更新时间：2024-06-05

- User recommendation based on cross-platform online social networks
- Journal on Communications Vol. 39, Issue 3, Pages: 147-158(2018)
- 作者机构：
  
  1. 四川大学计算机学院，四川成都 610065
  2. 四川师范大学基础教学学院，四川成都 610068
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(U1333113);The National Natural Science Foundation of China(61602330);Science and Technology Support Plan Foundation of Sichuan Province(2014GZ0111);The Scientific Research Fund of Sichuan Provincial Education Department(18ZA0404)
- DOI：10.11959/j.issn.1000-436x.2018044
  CLC： TP311
- Online First：2018-03，
  
  Published：25 March 2018
- 稿件说明：
移动端阅览
Jian PENG, Tuntun WANG, Yu CHEN, et al. User recommendation based on cross-platform online social networks[J]. Journal on Communications, 2018, 39(3): 147-158.
DOI：

Jian PENG, Tuntun WANG, Yu CHEN, et al. User recommendation based on cross-platform online social networks[J]. Journal on Communications, 2018, 39(3): 147-158. DOI： 10.11959/j.issn.1000-436x.2018044.

摘要

在社交网络用户推荐研究领域，通过提取用户的行为模式对其进行好友推荐。但是用户的行为是多样性的，在不同的社交平台，用户可能有不同的行为模型。提出跨平台用户推荐模型，同时对用户相关的所有社交网络平台进行建模，最后将用户在所有平台的行为模式进行融合。基于真实的新浪微博数据集和知乎数据集，通过一系列对比实验证明，跨平台用户推荐模型可以更加全面准确地刻画用户行为，更好地进行用户推荐。

Abstract

In the field of online social networks on user recommendation

researchers extract users’ behaviors as much as possible to model the users.However

users may have different likes and dislikes in different social networks.To tackle this problem

a cross-platform user recommendation model was proposed

users would be modeled all-sided.In this study

the Sina micro blog and the Zhihu were investigated in the proposed model

the experimental results show that the proposed model is competitive.Based on the proposed model and the experimental results

it can be known that modeling users in cross-platform online social networks can describe the user more comprehensively and leads to a better recommendation.

关键词

Keywords

references

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