Yes, but the similarities are no longer weights, because there is nothing to weight. They are used to compute a score directly, which is not a weighted average but a function of the similarities themselves.
While it is true that more distant neighbors have less effect in general, when the similarities *are* used as weights, it's not true that a small bad contribution can't hurt. A small bad contribution can still be bad. On Thu, Jan 24, 2013 at 7:58 PM, Koobas <koo...@gmail.com> wrote: > A naive question: > Boolean recommender means that we are ignoring ratings, > but aren't recommendations still weighted by user-user similarities or > item-item similarities? > Which would also mean that increasing the neighborhood will not deteriorate > the results, > because bad contributions from farther neighbors are attenuated by their > lower similarities.
