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import numpy as np
from similarity import similarity


    

In [2]:

    

def weightedAverage(neighbors, similarities, R, user, product):
    if neighbors==[]:
        print('no neighbor provided')
    sumWeights = 0
    average = 0
    for n in neighbors:
        if R(n,product)!=0:
            w = similarities(n, user)
            sumWeights = sumWeights + w
            average = average + w * R(n,product)
    average = average / sumWeights
    return average


    

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