On Thu, Jun 19, 2014 at 3:03 PM, redocpot <julien19890...@gmail.com> wrote: > We did some sanity check. For example, each user has his own item list which > is sorted by preference, then we just pick the top 10 items for each user. > As a result, we found that there were only 169 different items among the > (1060080 x 10) items picked, most of them are repeated. That means, given 2 > users, the items recommended might be the same. Nothing is personalized.
This sounds like severe underfitting -- lambda is too high or the number of features is too small.
