Mining potential social relationship with active learning in LBSN |
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| Authors: | Wang Haiping Zhang Hong Wang Yong Bing Jia |
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| Institution: | 1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, P.R.China;2. National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, P.R.China;3. Henan Worker' s Cultural Palace, Zhengzhou 450007, P.R.China |
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| Abstract: | Rapid development of local-based social network ( LBSN ) makes it more convenient for re-searchers 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 tel-ecommunication 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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| Keywords: | data preprocessing feature fusion active learning |
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