how do you compute k11, k12... values exactly? On Wed, Sep 10, 2014 at 1:55 PM, aishsesh < [email protected]> wrote:
> Hi, > > I have the following case where numItems = 1,000,000, prefs1Size = 900,000 > and prefs2Size = 100. > > It is the case when i have two users, one who has seen 90% of the movies in > the database and another only 100 of the million movies. Suppose they have > 90 movies in common (user 2 has seen only 100 movies totally), i would > assume the similarity to be high compared to when they have only 10 movies > in common. But the similarities i am getting are > 0.9971 for intersection size 10 and > 0 for intersection size 90. > > This seems counter intuitive. > > Am i missing something? Is there an explanation for the above mentioned > values? > > > > -- > View this message in context: > http://lucene.472066.n3.nabble.com/LogLikelihoodSimilarity-calculation-tp4158035.html > Sent from the Mahout User List mailing list archive at Nabble.com. >
