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README.md

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 # Collective Matrix Factorization
-This is an implmentation of Collective Matrix Factorization using Newton methond to minimize loss. (Note: This code is modified from Zhongqi Lu.)
+This is an implmentation of Collective Matrix Factorization using Newton methond to minimize objective loss.
+
+# Input Data Format
+Each relation is stored as a matrix in coordinate format. That is, it has three columns: row, col, value.
+'''
+3944,2641,2
+4644,2015,3
+1119,1980,4
+'''
+
+# Quick Usage
+'''
+$ Python3 cmf.py
+'''
 
 # Reference 
 * Singh, Ajit P., and Geoffrey J. Gordon. Relational learning via collective matrix factorization. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2008.