Hi, I am trying some experiments (mahout 0.5) with a new neighbourhood model that includes implicit feedback as well as explicit feedback. And I wanted to know, what are the clIasses, etc that I need to modify.
To start, my input to the system should in the following format: userid, itemid, exp_feedback, imp_feedback where userid and itemid are integers and exp_feedback and imp_feedback are floats between 0.0 and 1.0 for example: 101, 1, 0.67, 0.18 I've used the recommender system code in mahout before. But it will be my first time trying to modify it in order to run some custom code. I have skimmed through the Mahout in Action book. The other point is that I want to make this modifications with as little changes to the mahout distribution so that I can benefit from the optimisations that are present in the distribution. Definitely I need to have custom UserSimilarity and I need a custom UserNeighborhood? What else? Can somebody please give me some pointers where to start, e.g which classes i need to modify, etc. and what are the things I should be wary of? Then I will have a go and report back my progress. Regards Gawesh
