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Collaborative Filtering.

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from cf import CollFilter

if __name__ == '__main__':
    data = read_data(train_path)
    data = pre_process(data)  # return [(user_id: str, item_id: str, float),]
    cf = CollFilter(data)
    ucf = cf.user_cf()  # return {user_id: [(item_id, score),],}
    icf = cf.item_cf()  # return {user_id: [(item_id, score),],}
    cf.release()

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