Siamese Neural Networks for User Identity Linkage Through Web Browsing

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Affiliation of Author(s):北京邮电大学

Journal:IEEE Transactions on Neural Networks and Learning Systems

Key Words:Cost-sensitive classification, loss function, Siamese neural networks, user identity linkage

Abstract:Linking online identities of users among countless heterogeneous network services on the Internet can provide an explicit digital representation of users, which can benefit both research and industry. In recent years, user identity linkage (UIL) through the Internet has become an emerging task with great potential and many challenges. Existing works mainly focus on online social networks that consider inconsistent profiles, content, and networks as features or use sparse location-based data sets to link the online behaviors of a real person. To extend the UIL problem to a general scenario, we

Indexed by:Journal paper

First Author:Yuanyuan Qiao

Discipline:Engineering

Document Type:J

Volume:31

Issue:8

Page Number:2741-2751

ISSN No.:2162-237X

Translation or Not:no

Date of Publication:2020-08-01

Included Journals:SCI、EI