Hi, I am a newbie to apache mahout. I have mahout installed in my system. I am interested in the Recommender part. I have 2 questions: 1. I tried SVDRecommender with movielens(100k) data, with the parameters 10 for number of features, and 50 for number of iterations. I did not exactly understand what is to be passed for these two parameters? 2. I want to make use of the Lanczos algorithm that is available. I want to create a recommender, that will factorize the matrix using Lanczos algorithm. Towards that I created a class extending AbstractRecommender. Inside this we need to override the method recommend, estimatepreference among others. I am not sure how to exactly go about. There are 2 lanczos solvers that I could see: DistributedLanczosSolver and LanczosSolver. The DistributedLanczossolver extends LanczosSolver, so should I make use of DistributedLanczosSolver. It has something called LanczosState, which I could not understand what it is. Any guidance is deeply thanked.
Thanks, Yogalakshmi
