This thread is about the class SVDRecommender, which uses an externally created factorization to do recommendation.
A: The Factorization classes do not extract the scaling diagonal matrix. Is this embedded in the left or right matrix? Or spread across both? B: Is there an explanation of why the dot product of two feature vectors creates the preference? A paper or blog post? Or a paragraph in a reply? -- Lance Norskog [email protected]
