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This is the libMF source files with comments in Chinese.

The version of libMF source files is libmf-1.0.

The libMF official website is http://www.csie.ntu.edu.tw/~cjlin/libmf.

LIBMF is an open source tool for approximating an incomplete matrix using the product of two matrices in a latent space. Matrix factorization is commonly used in collaborative filtering. Main features of LIBMF include

In addition to the latent user and item features, we add user bias, item bias, and average terms for better performance. LIBMF can be parallelized in a multi-core machine. To make our package more efficient, we use SSE instructions to accelerate the vector product operations. For a data sets of 250M ratings, LIBMF takes less then eight minutes to converge to a reasonable level.