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rs-movie

recommender system for movie; data sources: MovieLens

Need: numpy scipy Infomation: do_experiment.py: the entry of this program rslib: the library for calculating Example: $ cd Recommender System $ python >>> import do_experiment as test

# start for calculating
# you can change the parameters in do_experiment.py
# like options, M, seed
>>> test.Start()
# waiting for few minutes
# it will create a folder yyyymmdd-hhtt
# then create several folder for cross validation
# then create a result.txt for recording(MAE,time,options)


# start for user recommend
>>> test.GetRecommend()

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recommender system for movie; data sources: MovieLens

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