I have used thumbs-down-like interactions as like an anti-click, and
subtracts from the interaction between the user and item. The negative
scores can be naturally applied in a matrix-factorization-like model
like ALS, but that's not the situation here.
Others probably have better first-hand
I like the negative click analogy. The data shows an explicit interaction—using
only thumbs up ignores that interaction. Yes, the cooccurrence style
recommender can’t account for these in the same way ALS does but filtering them
seems like a close approximation and maybe good enough.
#1 asks
It is bad practice to use weightings to express different actions. This
may be necessary in an ALS framework, but it is still a bad idea.
A much better approach is to use multi-modal recommendation in which each
action is used independently in a cross-recommendation fashion to measure
predictive
On Aug 15, 2014, at 9:05 AM, Ted Dunning ted.dunn...@gmail.com wrote:
It is bad practice to use weightings to express different actions. This
may be necessary in an ALS framework, but it is still a bad idea.
A much better approach is to use multi-modal recommendation in which each
On Fri, Aug 15, 2014 at 2:24 PM, Pat Ferrel pat.fer...@gmail.com wrote:
On Aug 15, 2014, at 9:05 AM, Ted Dunning ted.dunn...@gmail.com wrote:
It is bad practice to use weightings to express different actions. This
may be necessary in an ALS framework, but it is still a bad idea.
A
