Yes. But I strongly suggest that you not use Pearson Correlation. Use the LLR similarity to compute indicator actions for each vendor. Then use a user's history of actions to score vendors. This is not only much simpler than what you are asking for, it will be more accurate.
You should also measure additional actions besides ratings. On Mon, Sep 29, 2014 at 6:56 PM, vinayakb malagatti < vinayakbmalaga...@gmail.com> wrote: > @Pat and @Ted Thank You so much for the replay. I was looking for the > solution as Pat suggested, here I want to suggest the Vendors to the User > which he not yet used by User taking the history of that User and compare > with other user who have rated the common vendors. If we take the table in > that > > - for User 1 - he has rated Vendor 1 ,Vendor 3 and Vendor 4 and User 2 > has rated Vendor 1, Vendor 2 and Vendor 3. > - Common between User 2 and User 1 are Vendor 1 and Vendor 3. > - Assume that if Pearson Correlation between them is nearly 1, hence we > can Recommend the Vendor 2 to the User 1 which User 1 is not used. > > Can we do like this, using the Apache Mahout if Yes could you plz give > some brief idea. > > Thanks and Regards, > Vinayak B > > > On Tue, Sep 30, 2014 at 2:10 AM, Ted Dunning <ted.dunn...@gmail.com> > wrote: > > > I would recommend that you look at actions other than ratings as well. > > > > Did a user expand and read 1 review? did they read >3 reviews? > > > > Did they mark a rating as useful? > > > > Did they ask for contact information? > > > > You know your system better than I possibly could, but using other > > information in addition to ratings is very important for getting the > > highest quality predictive information. > > > > You can start with ratings, but you should push to get other kinds of > > information as much as possible. Ratings are often given by only a very > > small number of people. That severely limits how much value you can add > > with a recommendation engine. At the same time most people are busy not > > giving you ratings, they are doing lots of other things that tell you > what > > they are thinking and reacting to. If you don't pay attention to that > > additional information, you are handicapping yourself severely. > > > > > > On Mon, Sep 29, 2014 at 9:53 AM, vinayakb malagatti < > > vinayakbmalaga...@gmail.com> wrote: > > > > > Hi all, > > > > > > I have table something looks like in DB : > > > > > > > > > > > > rating table > > > < > > > > > > https://docs.google.com/spreadsheets/d/1PrShX7X70PqnfIQg0Dfv6mIHtX1k7KSZHTBfTPMv_Do/edit?usp=drive_web > > > > > > > > > > > > > > > > > > > > > > > > > Thanks and Regards, > > > Vinayak B > > > > > >
