Configuration parameters for SVDPlusPlus.
Implement SVD++ based on "Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model", available at http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf.
Implement SVD++ based on "Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model", available at http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf.
The prediction rule is rui = u + bu + bi + qi*(pu + |N(u)|-0.5*sum(y)), see the details on page 6.
edges for constructing the graph
SVDPlusPlus parameters
a graph with vertex attributes containing the trained model
Implementation of SVD++ algorithm.