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I have a big database of many items of retail company. If I would like to find the items which are similar to any particular item, can I use pearson correlation in Spark ML to do that? Is there any other better algorithm to do it? How do I make sure the machine also learns as it evolves?

Edit - I implemented Mapreduce program to find distance between various features. But how can I make it as Machine learning solution? Suppose if I let the program identify the correct neighbor, how can the program make use of this learning for next time?

passionate
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Using Azure ML recommendation model it is easy to perform tasks such as "reltaed purchase items" it would be a quick and easy start.

https://gallery.cortanaintelligence.com/MachineLearningAPI/Recommendations-2

Sudheej
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  • This has some examples around relating a customer to purchased item or item similarities based on purchases. My requirement is little different. How do I relate item to another item in the catalog of website using attributes of both items? – passionate Aug 13 '16 at 00:46