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In this paper, we propose an adaptive user distance measurement model to address the challenging problem of modeling user distance from multiple social networks. Previous works construct user distance model in a single social network, and dataset easily leads to over-fitting of the models due to the data sparseness of a single sparse network. We observe that people often simultaneously appear in multiple...
How to model user distance from multiple social networks is an important challenge. People often simultaneously appear in multiple social networks that can provide complementary services. Thus, knowledge from different social networks can help overcome the data sparseness problem. However, the knowledge cannot be directly obtained due to that they are from different social networks. To solve this...
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