The output shows possible recommendations, based on hub_score and authority_score. For example, the seller can recommend pajamas to Sandra and Susan because they and Sally have similar scores. The hub_score and authority_score values vary with every run.
username | hub_username | hub_score | authority_product | authority_score |
---|---|---|---|---|
Sally | pajamas | 0.126984126984127 | ||
Sally | pants | 0.119047619047619 | ||
Sally | Sandra | 0.239043824701195 | ||
Sally | Susan | 0.159362549800797 | ||
Sandra | pants | 0.111111111111111 | ||
Sandra | pajamas | 0.107142857142857 | ||
Sandra | Sally | 0.270916334661355 | ||
Sandra | Susan | 0.151394422310757 | ||
Stacie | sweaters | 0.107569721115538 | ||
Stacie | blazers | 0.103585657370518 | ||
Stacie | Stephanie | 0.212 | ||
Stacie | Susan | 0.164 | ||
Stephanie | coats | 0.119521912350598 | ||
Stephanie | Susan | 0.2 | ||
Stephanie | Stacie | 0.184 | ||
Susan | coats | 0.146825396825397 | ||
Susan | Stacie | 0.183266932270916 | ||
Susan | Stephanie | 0.175298804780877 |