fjz15056311771

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oh sorry! i make a mistake,the mean of code is one positive instance for 4 negative instances. i consider all positive and 4 negative before.thanks a lot!!!

Hi kyung-wook! sorry for disturb you again, i have a little problem about the way of getting negative sample,you know in Matrix factorization,they don't use unobserved sample to update matrix....

@kyung-wook thanks!! i think BPR loss solve my confusion.

thank you!! i understand the data structure, i will write a script transform it.

直接pip install scikit-learn,安装完适配的sklearn之后,继续执行python setup.py install安装其他包,后续问题同样方法