I have a list user data: user name, age, sex, address, location etc., and
a set of product data: Product name, Cost, description etc.
Now I would like to build a recommendation engine that will be able to:
1 Figure out similar products
name : category : cost : ingredients
x : x1 : 15 : xx1, xx2, xx3
y : y1 : 14 : yy1, yy2, yy3
z : x1 : 12 : xx1, xy1
here x and z are similar.
2 Recommend relevant products from the product list to a user
How can I implement this using mahout?