CODEWITHSUNDEEP
azuremachine-learningazure-machine-learning-service
Gustav Dahl
Gustav Dahl

Reputation: 1289

Azure ML Recommendations

I want to use Azure ML to find related products using information from receipts from a store.

I got a file of reciepts:

44366,136778
79619,88975
78861,78864
53395,78129,78786,79295,79353,79406,79408,79417,85829,136712
32340,33973
31897,32905
32476,32697,33202,33344,33879,34237,34422,48175,55486,55490,55498
17800
32476,32697,33202,33344,33879,34237,34422,48175,55490,55497,55498,55503
47098
136974
85832

Each row represent one receipt and each number is a product id.

Given a product id I want to get a list of similar products, i.e. products that was bought together by other customers.

Can anyone point me in the right direction of how do to this?

Upvotes: 1

Views: 578

Answers (2)

Moncef Maloum
Moncef Maloum

Reputation: 36

This is a typical problem for Recommender, you can use a model called Machbox recommender to cover such a problem. Recommender typically use Scoring about items to propose and the use some tricky calculation to predict scores for items users had not scored yet ( a score would be typically 1 user bought the item, 0 he did not) If you need more details let me know ..(you have access to a free version of Azure ML where you can try all this) Regards

Upvotes: 0

nparimi
nparimi

Reputation: 21

This seems a good fit for their frequently bought together service (https://datamarket.azure.com/dataset/amla/mba). You may have to preprocess the dataset to get it in the required format. This service has a web UI as well: https://marketbasket.cloudapp.net/

Upvotes: 2

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