Also a ready-to-use server with Spark MLlib: http://docs.prediction.io/recommendation/quickstart/
The source code is here: https://github.com/PredictionIO/PredictionIO/tree/develop/templates/scala-parallel-recommendation Simon On Sun, Nov 30, 2014 at 12:17 PM, Pat Ferrel <p...@occamsmachete.com> wrote: > Actually the spark-itemsimilarity job and related code in the Spark module > of Mahout creates all-pairs similarity too. It’s designed to use with a > search engine, which provides the query part of the recommender. Integrate > the two and you have a near realtime scalable item-based/cooccurrence > collaborative filtering type recommender. > > > On Nov 30, 2014, at 12:09 PM, Sean Owen <so...@cloudera.com> wrote: > > There is an implementation of all-pairs similarity. Have a look at the > DIMSUM implementation in RowMatrix. It is an element of what you would > need for such a recommender, but not the whole thing. > > You can also do the model-building part of an ALS-based recommender > with ALS in MLlib. > > So, no not directly, but there are related pieces. > > On Sun, Nov 30, 2014 at 5:36 PM, shahab <shahab.mok...@gmail.com> wrote: > > Hi, > > > > I just wonder if there is any implementation for Item-based Collaborative > > Filtering in Spark? > > > > best, > > /Shahab > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
