Hi All, I'm newbie in spark mlib. In my office I have a statistician who work on improving our matrix model for our recommendation engine. However he works on R. He told me that it's quite possible to combine the collaborative filtering and latent dirichlet allocation (LDA) by doing some computations.
However, in spark mlib, I found that both LDA and Collaborative Filtering have its own model that we can use later for our needs. My question is how to combine both model to achieve the same goal as our statistician did? What kind of operation that I can do to combine these models? Thanks. Imre
