Calculating similarity using multiple column values is what i thought,I looked throught the example but there is just some mention of use of content filtering implemented but not explicitly.
Can you guide me to a working example or do i need to use algorithms for classifiers or clustering? Also if i have to can i implement the results using the recommenders provided in mahout. Best Regards, Yash Patel On Wed, Dec 3, 2014 at 3:43 PM, parnab kumar <[email protected]> wrote: > 1. why not use the other columns as evidences and come up with a preference > score <UID> <ITEMID> <PREF_SCORE> and see if results improve.. May be you > use other machine learning algorithms to generate such preference > scores... > > > 2. one other way may be to implement a custom similarity Score and not the > ones that ships with mahout where you can use this column values to decide > on the similarity of the users. Kindly have a look at mahout in action. > There is an example for dating recommendation. This problem of yours > <USERID,ITEMID> can mapped back to the same problem mentioned. try > implementing the similarity score using the other column values. > > > May be some expert in this area can come up with a better solution...if i > were you i would certainly test the waters like the way i mentioned... > > Parnab... > CSE, IIT Kharagur > BIS, University College Cork >
