User recommendation based on cross-platform online social networks
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,us...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018044/ |
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| _version_ | 1841539427825876992 |
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| author | Jian PENG Tuntun WANG Yu CHEN Tang LIU Wenzheng XU |
| author_facet | Jian PENG Tuntun WANG Yu CHEN Tang LIU Wenzheng XU |
| author_sort | Jian PENG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6bb6636d9c7c44699d59fbe0601d494c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-6bb6636d9c7c44699d59fbe0601d494c2025-01-14T07:14:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-03-013914715859717178User recommendation based on cross-platform online social networksJian PENGTuntun WANGYu CHENTang LIUWenzheng XUIn 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018044/cross-platformuser recommendationonline social networksdata mining |
| spellingShingle | Jian PENG Tuntun WANG Yu CHEN Tang LIU Wenzheng XU User recommendation based on cross-platform online social networks Tongxin xuebao cross-platform user recommendation online social networks data mining |
| title | User recommendation based on cross-platform online social networks |
| title_full | User recommendation based on cross-platform online social networks |
| title_fullStr | User recommendation based on cross-platform online social networks |
| title_full_unstemmed | User recommendation based on cross-platform online social networks |
| title_short | User recommendation based on cross-platform online social networks |
| title_sort | user recommendation based on cross platform online social networks |
| topic | cross-platform user recommendation online social networks data mining |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018044/ |
| work_keys_str_mv | AT jianpeng userrecommendationbasedoncrossplatformonlinesocialnetworks AT tuntunwang userrecommendationbasedoncrossplatformonlinesocialnetworks AT yuchen userrecommendationbasedoncrossplatformonlinesocialnetworks AT tangliu userrecommendationbasedoncrossplatformonlinesocialnetworks AT wenzhengxu userrecommendationbasedoncrossplatformonlinesocialnetworks |