A collaborative of researchers has developed a filtering model with an associated scalable algorithm that makes accurate predictions of individuals’ preferences. The new approach is based on the explicit assumption that there are groups of individuals and of items, and that the preferences of an individual for an item are determined only by their group memberships.
Read more at: http://phys.org/news/2016-11-algorithm-individual.html#jCp
