Hi Saikat! Thanks for the details on what you're doing. So your system does not use Mahout when returning recommendations (db instead), but it uses the similarity data Mahout generated? Interesting. Is your key/value db running on your app instance, or is it remote? How many user preferences and items do you have?
- Matt On Fri, Aug 3, 2012 at 6:40 PM, Saikat Kanjilal <sxk1...@hotmail.com> wrote: > > Matt,I'm also deep in the midst of building out such a system, basically I > have a most of a system in place that:1) replenishes user ratings data > directly into hdfs from analytics2) performs mahout item similarity > computations on this data and stores the result back into hdfs3) uses hive to > then transform the results of number 2 into a real time low latency key value > database, in this case cassandra4) leverages a rest based web service to > query that database and serves up results into a UI > > I am currently working on the second piece which includes > clustering/classifying that that data based on a set of dynamic features. > >> Date: Fri, 3 Aug 2012 18:21:56 -0400 >> Subject: Re: question about distributed recommendations >> From: sro...@gmail.com >> To: user@mahout.apache.org >> >> Good good question. One straightforward way to approach things is to >> compute all recommendations offline, in batch, and publish them to some >> location, and then simply read them as needed. Yes your front-end would >> need to access HDFS if the data were on HDFS. The downside is that you >> can't update in real-time, and you spend CPU computing recs for people that >> may never be needed. >> >> The online implementations you've been playing with don't have those two >> problems, but they have scale issues at some point. >> >> But, I think one of these two approaches is probably 'just fine' for 80% of >> use cases. >> >> >> If not, the 'real' answer is a hybrid solution, using Hadoop to do periodic >> model recomputation, offline, and using front-ends to do (at least >> approximate) real-time updates and computation. This sort of system is what >> I'm trying to build with Myrrix (myrrix.com), which you may be interested >> in if you have this kind of problem. >> >> >> On Fri, Aug 3, 2012 at 6:16 PM, Matt Mitchell <goodie...@gmail.com> wrote: >> >> > Thanks Sean, that makes sense. I'll look into the source and see if I >> > can find learn more. >> > >> > Another question. I understand how the recommendations are created. >> > I'd like to wrap this all up as a web service, but I'm not sure I >> > understand how one would go about doing that? How would one app, fetch >> > recomendations for a user? Does my app need access to the HDFS file >> > system? >> > >> > Thanks again. >> > >> > >
