Thank you very much, Pat. Really appreciate it.
I think what you've described is exactly what I need.
I'm going to try Mahout-Samsara, it looks promising.
I originally wanted to include some hybrid method
(user + item based similarity) but this cross
cooccurrence might be the solution.
Thanks
Hi all,
I'm trying to implement a recommender based
on Mahout to recommend jobs for users.
There are 2 actions - an user applied for a job or
viewed a job. In terms of weight I'm using 5 for
an apply and 2 for a view.
Now I'm trying to find best user similarity to capture
these relations.
Hi there,
I've have no experience with mahout but I know that it will solve my
problem :) !
I've the following requirements:
* No hadoop setup should be necessary. I want a simple approach and I
know this is possible with mahout!
* I have lots of points (~100 million) but also some RAM (32GB)
