| Wang Haiping (王海平),Zhang Hong,Wang Yong,Bing Jia.[J].高技术通讯(英文),2017,23(2):198~202 |
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| Mining potential social relationship with active learning in LBSN |
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| DOI：10.3772/j.issn.1006-6748.2017.02.012 |
| 中文关键词: |
| 英文关键词: data preprocessing, feature fusion, active learning |
| 基金项目: |
| Author Name | Affiliation | | Wang Haiping (王海平) | | | Zhang Hong | | | Wang Yong | | | Bing Jia | |
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| 中文摘要: |
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| 英文摘要: |
| Rapid development of local-based social network (LBSN) makes it more convenient for researchers to carry out studies related to social network. Mining potential social relationship in LBSN is the most important one. Traditionally, researchers use topological relation of social network or telecommunication network to mine potential social relationship. But the effect is unsatisfactory as the network can not provide complete information of topological relation. In this work, a new model called PSRMAL is proposed for mining potential social relationships with LBSN. With the model, better performance is obtained and guaranteed, and experiments verify the effectiveness. |
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