ItemFilterAsVectorAndPrefsReducer does #3. You can always post-process the recommendations however you like and ignore whatever items you want.
On Fri, Jan 14, 2011 at 10:19 AM, han henry <huiwen....@gmail.com> wrote: > Hi,Sean and sebastian > > We have two type preference . > > 1) ,Preferences that user does not want to see them ,we store those > preference in filterFile. > 2) ,All preferences (include those in the #1) ,also those data can use to > calculate similarity. > > We can not recommend those items to user > > #1, Invalid items or expired items .we store those items in itemSFile. > #2, User Non-interested items ,we store those user ,item pairs in filterFile > . > #3, User existed items (user already has those item in preferences ). > > ItemFilterAsVectorAndPrefsReducer seems can make those items been skiped > in last step. > > so we do #1 and #2 in the last step > (AggregateAndRecommendReducer.java<http://svn.apache.org/repos/asf/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/hadoop/item/AggregateAndRecommendReducer.java>), > but I have not found logic to skip #3. > > Am I right ? > > Best Regards, > > 2011/1/14 han henry <huiwen....@gmail.com> > >> Thank you Sean and sebastian :) >> >> 2011/1/14 Sean Owen <sro...@gmail.com> >> >> Look at ItemFilterAsVectorAndPrefsReducer. This does what you are looking >>> for. >>> >>> On Fri, Jan 14, 2011 at 9:17 AM, han henry <huiwen....@gmail.com> wrote: >>> > Hi,Sebastian >>> > >>> > Because my data is on the production ,it 's very large .so sorry that I >>> can >>> > not give you input data. >>> > >>> > But we can try to review the code . >>> > >>> > The initial version cooccurence arithmetic has logic to skip user's >>> existed >>> > items. >>> > >>> > Best Regards, >>> >> >> >
