+1 as well. Sounds fun. On Fri, Jul 19, 2013 at 4:06 PM, Dominik Hübner <[email protected]>wrote:
> +1 for getting something like that in a future release of Mahout > > On Jul 19, 2013, at 10:02 PM, Sebastian Schelter <[email protected]> wrote: > > > It would be awesome if we could get a nice, easily deployable > > implementation of that approach into Mahout before 1.0 > > > > > > 2013/7/19 Ted Dunning <[email protected]> > > > >> My current advice is to use Hadoop (if necessary) to build a sparse > >> item-item matrix based on each kind of behavior you have and then drop > >> those similarities into a search engine to deliver the actual > >> recommendations. This allows lots of flexibility in terms of which > kinds > >> of inputs you use for the recommendation and lets you blend > recommendations > >> with search and geo-location. > >> > >> > >> On Fri, Jul 19, 2013 at 12:33 PM, Helder Martins < > >> [email protected]> wrote: > >> > >>> Hi, > >>> I'm a dev working for a web portal in Brazil and I'm particularly > >>> interested in building a item-based collaborative filtering recommender > >>> for our database of news articles. > >>> After some coding, I was able to get some recommendations using a > >>> GenericItemBasedRecommender, a CassandraDataModel and some custom > >>> classes that store item similarities and migrated item IDs into > >>> Cassandra. But know I'm in doubt of what is normally done with this > >>> recommender: Should I run this as a daemon, cache the recommendations > >>> into memory and set up a web service to consult it online? Should I pre > >>> process these recommendations for each recent user and store it > >>> somewhere? My first idea was storing all these recs back into > Cassandra, > >>> but looking into some classes it seems to me that the norm is to read > >>> the input data and store the output always using files. Is this a > common > >>> practice that benefits from HDFS? > >>> My use case here is something around 70k recommendations requests per > >>> second. > >>> > >>> Thanks in advance, > >>> > >>> -- > >>> > >>> Atenciosamente > >>> Helder Martins > >>> Arquitetura do Portal e Sistemas de Backend > >>> +55 (51) 3284-4475 > >>> Terra > >>> > >>> > >>> Esta mensagem e seus anexos se dirigem exclusivamente ao seu > >> destinatário, > >>> podem conter informação privilegiada ou confidencial e são de uso > >> exclusivo > >>> da pessoa ou entidade de destino. Se não for destinatário desta > mensagem, > >>> fica notificado de que a leitura, utilização, divulgação e/ou cópia sem > >>> autorização pode estar proibida em virtude da legislação vigente. Se > >>> recebeu esta mensagem por engano, pedimos que nos o comunique > >> imediatamente > >>> por esta mesma via e, em seguida, apague-a. > >>> > >>> Este mensaje y sus adjuntos se dirigen exclusivamente a su > destinatario, > >>> puede contener información privilegiada o confidencial y es para uso > >>> exclusivo de la persona o entidad de destino. Si no es usted él > >>> destinatario indicado, queda notificado de que la lectura, utilización, > >>> divulgación y/o copia sin autorización puede estar prohibida en virtud > de > >>> la legislación vigente. Si ha recibido este mensaje por error, le > pedimos > >>> que nos lo comunique inmediatamente por esta misma vía y proceda a su > >>> exclusión. > >>> > >>> The information contained in this transmissión is privileged and > >>> confidential information intended only for the use of the individual or > >>> entity named above. If the reader of this message is not the intended > >>> recipient, you are hereby notified that any dissemination, distribution > >> or > >>> copying of this communication is strictly prohibited. If you have > >> received > >>> this transmission in error, do not read it. Please immediately reply to > >> the > >>> sender that you have received this communication in error and then > delete > >>> it. > >>> > >> > > -- BF Lyon http://www.nowherenearithaca.com
