Created
March 15, 2020 15:57
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def to_product_name(id, columns='product_name'): | |
Return products_csv[products_csv.product_id==id][columns].values.tolist()[0] | |
def most_similar_readable(model, product_id, topn=10): | |
similar_list = [(product_id, 1.0)] + model.wv.most_similar(str(product_id), | |
topn=topn) | |
return pd.DataFrame([( to_product_name(int(id)), int(id), similarity ) for | |
(id, similarity) in similar_list], | |
columns=['product', 'product_id', 'similarity']) | |
for product_id in [13176, # Bag of Organic Bananas | |
39180, # Organic Lowfat 1% Milk | |
2326]: # Organic Blueberry Waffles | |
most_similar_readable(model, product_id) |
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