Hello friends,
I am considering the use of Cluster-based recommender for a problem that I
am solving. However, what I am trying to do the mirror or how cluster-based
is doing. Specifically, cluster-based clusters users to groups then
recommends items to each cluster. Would it be possible for me
Sure -- to do this, you simply flip your items and users. Feed item
IDs as user IDs and vice versa. Then you have a system that recommends
users to items, really. And you can use clustering if you like, to do
that. In fact you can use any algorithm.
Sean
On Mon, Mar 12, 2012 at 1:56 PM, Ahmed
This is really great. Thanks so much!
-Ahmed
On Mon, Mar 12, 2012 at 12:13 PM, Sean Owen sro...@gmail.com wrote:
Sure -- to do this, you simply flip your items and users. Feed item
IDs as user IDs and vice versa. Then you have a system that recommends
users to items, really. And you can use
Be aware that cluster based recommenders almost never perform as well as
user/item based recommenders.
On Mon, Mar 12, 2012 at 10:03 AM, Ahmed Abdeen Hamed
ahmed.elma...@gmail.com wrote:
This is really great. Thanks so much!
-Ahmed
On Mon, Mar 12, 2012 at 12:13 PM, Sean Owen sro
Thanks for the heads up. I will keep that in mind!
-Ahmed
On Mon, Mar 12, 2012 at 1:49 PM, Ted Dunning ted.dunn...@gmail.com wrote:
Be aware that cluster based recommenders almost never perform as well as
user/item based recommenders.
,
-Ahmed
On Mon, Mar 12, 2012 at 1:49 PM, Ted Dunning ted.dunn...@gmail.com wrote:
Be aware that cluster based recommenders almost never perform as well as
user/item based recommenders.
This makes perfect sense!
Thanks again,
-Ahmed
On Mon, Mar 12, 2012 at 6:20 PM, Sean Owen sro...@gmail.com wrote:
You can set a threshold rather than a count -- that's about as much as
that bit of code does in this regard.
