RE: Collaborative filtering item-based in mahout - without isolating users

2014-12-11 Thread Gruszowska Natalia
: Wednesday, December 10, 2014 7:05 PM To: user@mahout.apache.org Subject: Re: Collaborative filtering item-based in mahout - without isolating users Hi Natalia Regarding example 1, if you think in terms of likelihood that the two products have been bought together because they are similar (opposed

Re: Collaborative filtering item-based in mahout - without isolating users

2014-12-11 Thread mario . alemi
-based in mahout - without isolating users Hi Natalia Regarding example 1, if you think in terms of likelihood that the two products have been bought together because they are similar (opposed to by chance), the similarity is undefined. As everyone buys 12, of course the person who bought 11

RE: Collaborative filtering item-based in mahout - without isolating users

2014-12-11 Thread Gruszowska Natalia
...@gmail.com] Sent: Thursday, December 11, 2014 12:00 PM To: user@mahout.apache.org Subject: Re: Collaborative filtering item-based in mahout - without isolating users otherwise we recommend only very popular items this is why you have loglikelihood ratio, right? m On Thu, Dec 11, 2014 at 11:51 AM

Re: Collaborative filtering item-based in mahout - without isolating users

2014-12-11 Thread Pat Ferrel
: Thursday, December 11, 2014 12:00 PM To: user@mahout.apache.org Subject: Re: Collaborative filtering item-based in mahout - without isolating users otherwise we recommend only very popular items this is why you have loglikelihood ratio, right? m On Thu, Dec 11, 2014 at 11:51 AM, Gruszowska

Re: Collaborative filtering item-based in mahout - without isolating users

2014-12-11 Thread Ted Dunning
: Wednesday, December 10, 2014 7:05 PM To: user@mahout.apache.org Subject: Re: Collaborative filtering item-based in mahout - without isolating users Hi Natalia Regarding example 1, if you think in terms of likelihood that the two products have been bought together because they are similar

Collaborative filtering item-based in mahout - without isolating users

2014-12-10 Thread Gruszowska Natalia
Hi All, In mahout there is implemented method for item based Collaborative filtering called itemsimilarity, which returns the similarity between each two items. In the theory, similarity between two items should be calculated only for users who ranked both items. During testing I realized that

Re: Collaborative filtering item-based in mahout - without isolating users

2014-12-10 Thread mario . alemi
Hi Natalia Regarding example 1, if you think in terms of likelihood that the two products have been bought together because they are similar (opposed to by chance), the similarity is undefined. As everyone buys 12, of course the person who bought 11 bough also 12, right? This if you compute the