Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization

Understand

How can we capture the hidden properties from a tensor and a matrix data simultaneously in a fast, accurate, and scalable way? Coupled matrix-tensor factorization (CMTF) is a major tool to extract latent factors from a tensor and matrices at once.

• Designing an accurate and efficient CMTF method has become more crucial as the size and dimension of real-world data are growing explosively.
• However, existing methods for CMTF suffer from lack of accuracy, slow running time, and limited scalability.
• In this paper, we propose S3CMTF, a fast, accurate, and scalable CMTF method.