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Just wanted a high level understanding of how the feature "Customers Who Bought "This Item" Also Bought" on amazon work:
1) Is this just a simple query that searches for orders that contain "This Item" - and return other items in those orders.
2) What if a customer bought "This Item" in one order and bought "Another Item" in a different order -- Is this "Another Item" also returned in this list.
3) The #2 makes me think that the query first searches for customers that bought "This Item" and then return other items that were purchased by those customers.
4) How are these results sorted?
I keep hearing that they have a special algorithm for this. So I'm just curious.
If anyone can share their insight into how this works - I would great appreciate it.
It makes sense. So they are filtering the suggestions by category. For instance if another customer who bought that book and other books and also some other items, then you are only interested in the other books purchased by that user and discard the other items.
But I've also seen that when you are browsing for a TV - in that section of "customers who bought this also bought" - it will list other items like DVD players, home theater systems, remote controls and even cables - not just TV's.
Well if u think abt it - all those items do fall under the parent category of electronics - but not in the sub category of TV. But what is interesting to note is that all these items are related to a TV-they are not showing stuff like digital cameras or camcorders which also fall under the parent category of electronics.
Thanks for your opinion though.
If the query is done based on items in an order, and not really everything a customer has ever purchased, the items will have a tendency to filter themselves, sometimes better than an algorithm could probably figure out.
I've done similar things myself. When the sample of data is large enough, the statistical trends can be quite accurate.
Greg Linden designed and developed the recommendation algorithm at Amazon.
Forget Wikipedia try Amazon.com Recommendations: Item-to-Item Collaborative Filtering, Greg Linden, Brent Smith, and Jeremy York [computer.org].