thak you Pat. I did not know that.
On Friday, August 21, 2015, Pat Ferrel <p...@occamsmachete.com> wrote: > The hadoop recommenders are not the really state of the art anymore. > > We are recommending one based on the SimilarityAnalysis.cooccurrence methods and the spark-itemsimilarity driver if you wish. These in combination with a search engine produce an incredibly flexible recommender that ingests lots more data about the user and so can recommend in cases the old ones or even the new Spark ALS recommender can’t help with. > > There is an OSS version here: https://github.com/PredictionIO/template-scala-parallel-universal-recommendation > It works as a template or plugin to the prediction.io framework, which has all the event ingest/storage/train/serving built in. Check it out. > > On Aug 20, 2015, at 12:30 PM, Mike C <m...@siteswithbenefits.com> wrote: > > Hi! > > I've made a custom User Recommender using the Mahout API, using > GenericUserBasedRecommender. > > I'm not quite sure how to take the next step to get it working across > Hadoop. RecommenderJob appears to be for Item Recommenders and it's not > really clear how to adapt it for a custom Recommender. > > Anyone have any pointers to how this can be done in my case? > > Thanks. > > Mike > > -- Best Regards, Mostafa Ramadan Software Developer (02) 01097719290 Personal web Site : http://sites.google.com/site/mostafaofficialwebsite mail:mostafa.ramad...@gmail.com <http://us.f384.mail.yahoo.com/ym/Compose?To=mostafa.rama...@yahoo.com>
