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ULink

Description: The package includes the MATLAB code of the algorithm Ulink with CCCP optimization. We show a simple example on synthetic data, all match pairs and non-matching pairs are simulated. The goal is to show the result in latent user space is better than the result in original space.

Because of privacy, we can not release the social media data. Please understand!

Reference: X. Mu, F. Zhu, E.-P. Lim, J. Xiao, J. Wang, and Z.-H. Zhou. User identity linkage by latent user space modelling. In: Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, 2016, pp.1775-1784.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@lamda.nju.edu.cn).

Requirement: Before running this code, you need prepare the CVX toolbox(http://cvxr.com/cvx/) [1].

[1]Michael Grant and Stephen Boyd. CVX: Matlab software for disciplined convex programming, version 2.0 beta. http://cvxr.com/cvx, September 2013.

ATTN2: This packages were developed by Xin Mu (mux@lamda.nju.edu.cn). For any problem and suggestment, please feel free to contact Mr. Mu.

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