Large-Scale Parallel Collaborative Filtering for the Netflix Prize

  title={Large-Scale Parallel Collaborative Filtering for the Netflix Prize},
  author={Yunhong Zhou and Dennis M. Wilkinson and Robert Schreiber and Rong Pan},
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purchased, or rated. Two major problems that most CF approaches have to resolve are scalability and sparseness of the user profiles. In this paper, we describe Alternating-Least-Squares with Weighted-λ-Regularization (ALS-WR), a parallel algorithm that we designed for the Netflix Prize, a large-scale collaborative… CONTINUE READING
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