Hi,
I was looking at the implementation of the SVDRecommender, and was wondering if
anyone could point me to a paper or an algorithm on which the implementation is
based.
In addition, I was wondering if the current implementation supports
binary-rating data (all we know is whether a piece of content is consumed or
not).
The current implementation relies on a value which is the average score given
by
all the users to all the items. In case of binary-rating data, there are no
explicit scores given. However, if we assign 1 to all consumed items and 0 to
all unconsumed items, we will be able to get an average score needed. Has
anybody tried the SVDRecommender on such binary-rating data before?
Thanks so much.
James
