I think they use some tool like NetP from http://www.netperceptions.com/

Tero
  ----- Original Message -----
  From: Qasim Rasheed
  To: CF-Talk
  Sent: Wednesday, May 19, 2004 4:20 PM
  Subject: RE: How does Amazon do that?

  I guess they have some sort of Recommendation and Referral  mechanism in
  place. It could be an attributes-based, item-to-item correlation and
  person-to-person correlation (Collaborative Filtering).

  Thanks

  Qasim

  -----Original Message-----
  From: Tim Blair [mailto:[EMAIL PROTECTED]
  Sent: Wednesday, May 19, 2004 5:22 AM
  To: CF-Talk
  Subject: RE: How does Amazon do that?

  > When you look around Amazon.com, and show an interest in
  > something, there's always a part of the page that says
  > "people who bought this also bought that
  > .."   

  The solution I came up with uses two tables - the product table (guess
  what that is?) and a product_link table.  The product_link allows me to
  store, well, links between products in an arbitrary way.

  The link table has a 3-way PK of product ID, associated product ID and
  product link "type" - the type is just a numeric field which represents
  the type of link between the products which in my case includes "similar
  too", "related too", "cross sell with" and "also bought".  The first
  three are set via the admin.

  The final field in the link table is a generic "data" field, which in
  the case of the "also bought" type is a count.  In this way I can grab
  the most popular "also bought" products with a nice simple query by
  ordering by the data field.

  The "also bought" data is not generated on-the-fly - it could take
  waaaaaaaay too long to increment the appropriate counters for each
  product link when someone checks out, so instead it's done nightly (or
  whenever) on a schedule.

  That's just one solution though...

  Tim.

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