Thank you so much folks for great suggestion, i will study all of materials and if problem i will comw up with nice questions.... -----Original message----- From: Ted Dunning Sent: 10/11/2011, 11:31 pm To: user@mahout.apache.org; vignesh2...@gmail.com Subject: Re: Help needed for Recommendation engine
I would avoid clustering. I would also avoid user-based techniques. Your problem does not sound very large compared to what Mahout can handle. Others can explain the details or you can look in the Mahout in Action book. The basic idea is that you should start with considering your rating data as binary data and use the associated similarity functions (I don't remember the name, but you can find it quickly in the email archives or in the book). Clustering will probably take longer than the off-line construction of the recommendation model. You didn't mention how many distinct items you have. Another missing bit of information is how often new items appear. On Thu, Nov 10, 2011 at 8:56 AM, vignesh2...@gmail.com < vignesh2...@gmail.com> wrote: > Ya ted, > i am new in the mahout world,having java knowledge with hadoop ,mahout > basics.. > Whatever i know about my system and what i wan to develop is discribed > below.. > > i indeed want to develop recommender system with kmeans clustering > algorithm. > So it take little time for generating recommendation of items for millions > of users based on their past activity like users rating on the perticular > products and total number of product's page visit by users.so,i have three > input > 1.userid > 2.productid > 3.rate or number of visits by userid provided at first no. > > And based on this will provide numbers of item or best item appropriate to > user as recommeendation.and after all this information is stored in > hadoop-mahout supported database..so at time of requirement all > recommendatin fetched at page ... > > So for this implementation whats are the steps to be followed? Can you > suggest me??? > > > Thanks in advance... > > -----Original message----- > From: Ted Dunning > Sent: 10/11/2011, 7:09 pm > To: user@mahout.apache.org > Cc: user > Subject: Re: Help needed for Recommendation engine > > > Hive is not a database. > > You should test different algorithms. If you want suggestions you should > say a lot more about what you are doing. > > Sent from my iPhone > > On Nov 10, 2011, at 5:39, VIGNESH PRAJAPATI <vignesh2...@gmail.com> wrote: > > > So how to start for it which mahout algorithm is sutable for this? > >
