Hi Kasun, If you want to get involved, you are free to discuss and propose your own changes and algorithms. You can review the list of open issues here: https://issues.apache.org/jira/browse/MAHOUT This contains some ideas about work that needs to be done.
One interesting project would be to benchmark the existing distributed item-based recommender and find ways to improve its speed or reduce its memory/disk usage. That's a fairly simple starter project and quite useful. Sean On Wed, Dec 29, 2010 at 10:51 AM, Kasun Lakpriya <[email protected] > wrote: > Hi all, > I am Kasun Lakpriya from University of Moratuwa, Sri Lanka. I am following > a > BSc in Computer Science and Engineering degree and now I am in my final > year. > > In our degree program in order to complete the degree we need to do some > kind of a research project approved by the university. The project I am > working on is about "Web Personalization". The task is to develop a > personalization module which is pluggable to any (theoretically) web > application. After some literature survey we found out that there are some > existing open source tools we can use to implement this module > (personalization module). Specially what we are focusing on is > Collaborative > Filtering. I have already checked out the mahout trunk and > built successfully and tried this example I found on the web [1]. And I > went > through the wiki page related to Algorithms and found some nice > presentation > about "Distributed item based collaborative filtering" by Sebastian > Schelter. And I went through some similarity measure implementations in > Mahout. > > What I want from you all is some guidance and helping hand to start > implementation on improving an algorithm already there in the Mahout or > what > are the other areas we can integrated to Mahout regarding to Collaborative > Filtering. In the recent mail archives I couldn't find such a discussion > regarding this thing. Any further reading or references would be > really appreciated. > > > Thanks and Regards, > Kasun > > [1] - > > http://philippeadjiman.com/blog/2009/11/11/flexible-collaborative-filtering-in-java-with- > mahout-taste/ >
