User identification across multiple social networks
作者： Jan Vosecky , Dan Hong , Vincent Y. Shen
关键词:
摘要: Today, more and people have their virtual identities on the web. It is common that are users of than one social network also friends may be registered multiple websites. A facility to aggregate our online into a single integrated environment would enable user keep up-to-date with contacts easily, as well provide improved search for across different In this paper, we propose method identify based profile matching. We use data from two popular networks study similarity definition. evaluate importance fields in web develop comparison tool. demonstrate effectiveness efficiency tool identifying consolidating duplicated
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