Try something simple like this 1 - Identify which recommendation configurations you believe work best with whatever data you currently have. 2 - Run said configurations across your data, track the recommendation list generated by each configuration. 3 - Combine the scores for items across your various recommendation lists 4 - Present results to whomever
You should probably read the quickstart guide to get familiar with how to set the recommendation aspect of mahout up (Check the wiki and examples in trunk) On Mon, Jun 6, 2011 at 9:27 PM, jeff thomas <[email protected]> wrote: > Can anyone please provide details on how to stack algorithms? > > From: > http://lucene.472066.n3.nabble.com/A-few-questions-regarding-content-based-recommenders-td2168516.html > > > "Production recommendation systems use several algorythms and combine > them with weights. This is called 'stacking'. You might wish to write > a stacking version of Recommender. " >
