Hi Sean, I am not very familiar with the code itself, however I have no problem with digging into it.
I guess the CandidateItemStrategy and the Rescorer are usable for all kinds of recommendations: user-user, user-item, item-item etc. and so I can create a generic (or general) implementation for the problem? Could you explain more of the tradeoffs for both implementation-possibilities, please? Regards, Em Am 01.07.2011 19:01, schrieb Sean Owen: > The short answer is that you'd have to modify the code to inject this > kind of logic -- though you might get away with just using a custom > CandidateItemStrategy in an item-based recommender. > > A Rescorer will cause it to not bother computing estimated values for > unwanted items though, so I think it already does what you intend. > > On Fri, Jul 1, 2011 at 5:56 PM, Em <mailformailingli...@yahoo.de> wrote: >> Hello list, >> >> is it possible to filter out some items/users from the >> recommendation-process? >> >> In some cases one does not want to include information from some sources in >> special situations. >> >> As an example you can imagine an onlineshop. If you click on the category >> "women" it would be the best to only show recommendations for this >> main-category rather than also showing some stuff for men. >> >> A Rescorer could be a solution to filter out those unwanted results *after* >> the big part is done (am I correct?), however I do not want to spend >> ressources on computing probabilities for items that are definitly unwanted >> for the resultset. >> >> What I want is something like a >> SELECT col1, col2, col3 FROM myData WHERE category = "women" OR category = >> "subcategoryOfWomen" >> and than do the computation on top of this dataset. >> >> Is this possible with Mahout? >> >> Regards, >> Em >> >> -- >> View this message in context: >> http://lucene.472066.n3.nabble.com/Exclude-by-RuleSet-tp3129982p3129982.html >> Sent from the Mahout User List mailing list archive at Nabble.com. >> >
