Maybe we can use spark to do the updates in real time to the recs Sent from my iPhone
> On Sep 9, 2014, at 7:37 AM, "Peng Zhang" <[email protected]> wrote: > > That will be a great feature. > > Currently if the offline brach job will run hours to update the recs. Can > this api update recs in realtime? i.e. can we update the recs for a user > based on her last few behaviors 5 minutes ago? > > >> On Sep 9, 2014, at 10:28 PM, Pat Ferrel <[email protected]> wrote: >> >> Now that we have the basis of several significant improvements to Mahout’s >> recommender it seems like we need to go the last step and provide a service. >> Without this it is left to the user to do a lot of integration making the >> current next gen somewhat incomplete. >> >> Using the Hadoop mapreduce code you can get all recs for all people using >> collaborative filtering data or you can use the in-memory single machine >> recommender if you have a small dataset. >> >> The next generation would require Solr or Elasticsearch so why not go the >> extra step and provide a recommender API on top? At very least it would give >> users a single machine API they can call, analogous to the in-memory >> recommender of Mahout 0.9. But it would also be indefinitely scalable. >> >> Is anyone interested in discussing this here? >
