On Wed, Dec 3, 2014 at 6:22 AM, Yash Patel <yashpatel1...@gmail.com> wrote:
> I have multiple different columns such as category,shipping location,item > price,online user, etc. > > How can i use all these different columns and improve recommendation > quality(ie.calculate more precise similarity between users by use of > location,item price) ? > For some kinds of information, you can build cross recommenders off of that other information. That incorporates this other information in an item-based system. Simply hand coding a similarity usually doesn't work well. The problem is that you don't really know which factors really represent actionable and non-redundant user similarity.
