Hi Ted, I want to build a prototype for "people who view this item also viewd these other items" using Mahout. I am exploring how Mahout could help. I have data like user_id --> item_id--->no_of_clicks. Looks to me this is not a collaborative filtering problem. Because, this is neither finding users having similar taste not similarilty between items. I think this is a problem of Co-occurrence discovery and can be solved by Association Rules Mining algorithms like FP Growth. Any comment on this is highly appriciated.
Thanks in advance. Pradeep On Thu, Jul 8, 2010 at 5:15 PM, Ted Dunning <[email protected]> wrote: > The answer to your first question is "yes". > > The answer to your second question (please advise) is "heh?" > > Can you explain what you are asking in a bit more detail? > > On Thu, Jul 8, 2010 at 4:57 PM, Pradeep Pujari <[email protected]> wrote: > > > > > Recommendation Algorithms: Can it be used for a case like, people who > > viewed > > this item also viewed these other items? I read the taste recommendation > > framework which talks about collaborative filtering. Looks to me this > above > > use case is not a collaborative filtering subject. We know the click data > > and math lib can able to help. Please advise. > > > > >
