Sebastian,
This sounds reasonable. However, I observe that running the
factorize-movielens script computes recommendations for *all* users. Is
there a way to compute the recommandation for only one user ?
The recommenditembased recommender allows for using an external file
containing the user id, however that algorithm is so slow compared to the
factorize (6minutes to run, compared to 6 minutes but for thousands of
recommendations). But I didn't find such an option in the factorize script
(besides, it seems that some of the ALS are precomputed and cached, so that
the recommendation job is quicker).
Thank you !
2013/1/17 Sékine Coulibaly <scoulib...@gmail.com>
> Sebastian,
>
> This sounds reasonable. However, I observe that running the
> factorize-movielens script computes recommendations for *all* users. Is
> there a way to compute the recommandation for only one user ?
>
> The recommenditembased recommender allows for using an external file
> containing the user id, however that algorithm is so slow compared to the
> factorize (6minutes to run, compared to 6 minutes but for thousands of
> recommendations).
>
> Thank you !
>
>
>
> 2013/1/14 Sebastian Schelter <s...@apache.org>
>
>> Then I would suggesz that you modify the shell script to periodically
>> precompute the recommendations and put them into a database afterwards
>> which you can query via PHP.
>>
>> It makes no sense IMO to call a webservice that starts a Hadoop job and
>> wait for the results.
>>
>> /s
>>
>>
>>
>>
>> On 14.01.2013 10:12, Sékine Coulibaly wrote:
>> > Ibrahim, Sebastian,
>> >
>> > I precisely am trying to create a PHP Webservice to deliver
>> recommendations.
>> >
>> > On a webpage, I would call that webservice, and I was imagining having
>> that
>> > webservice calling the factorize-movielens script itself, and
>> transforming
>> > the latter output to something like
>> >
>> [{itemID:557,value:5.988698},{itemID:578,value:5.0461025},{itemID:1149,value:4.9268165},{itemID:572,value:4.9265957},{itemID:3245,value:4.8139095}],
>> > a JSON I could easily parse in my front-end.
>> >
>> > I don't want (if possible) to involve any Java application or http
>> server
>> > as suggested (kornapi,myrrix), although I understand these would be a
>> > sensible way to do (I'm interested in learning MAhout, so obfuscating
>> that
>> > part is something I'd like to avoid).
>> >
>> > Regards
>> >
>> >
>> > 2013/1/14 Sebastian Schelter <s...@apache.org>
>> >
>> >> This blog post might be useful for you:
>> >>
>> >> http://ssc.io/a-recommendation-webservice-in-10-minutes/
>> >>
>> >> On 14.01.2013 09:31, Sékine Coulibaly wrote:
>> >>> Hi Ibrahim,
>> >>>
>> >>> Actually, for now, I wish I could use it locally, in other words
>> without
>> >>> using Haddop framework. I've been successfull in trying to launch :
>> >>> factorize-movielense-1M.sh ratings.dat
>> >>>
>> >>> I wish I could launch that very same command from PHP. The Apache
>> user is
>> >>> www-data indeed. The /tmp/mahout-work-www-data directory is created
>> but
>> >>> only contains the ratings.csv file.
>> >>>
>> >>> Regards
>> >>>
>> >>>
>> >>>
>> >>>
>> >>> 2013/1/14 Ibrahim Yakti <iya...@souq.com>
>> >>>
>> >>>> your php scripts run using apache user which most probably doesn't
>> have
>> >>>> HADOOP_HOME, HADOOP_CONF_DIR, ...etc variables defined, please try
>> to
>> >>>> define them in the php script before making the call.
>> >>>>
>> >>>> I hope it works.
>> >>>>
>> >>>>
>> >>>> --
>> >>>> Ibrahim
>> >>>>
>> >>>>
>> >>>> On Sun, Jan 13, 2013 at 11:38 PM, Sékine Coulibaly <
>> >> scoulib...@gmail.com
>> >>>>> wrote:
>> >>>>
>> >>>>> Hi there,
>> >>>>>
>> >>>>> I've been able to start locally the factorize-movielens script. What
>> >> I'd
>> >>>>> like to do is basically create a PHP webservice able to start that
>> very
>> >>>>> same script, and return the recommendations.
>> >>>>>
>> >>>>> I'm using Apache2, and I use PHP's shell_exec to start the script as
>> >>>>> follows :
>> >>>>>
>> >>>>>
>> >>>>> putenv("JAVA_HOME=" .'/usr/local/jvm/jdk1.7.0_05');
>> >>>>> $output =
>> >>>>>
>> >>>>>
>> >>>>
>> >>
>> shell_exec('/home/scoulibaly/Téléchargements/mahout-distribution-0.6/examples/bin/factorize-movielens-1M.sh
>> >>>>>
>> >>>>>
>> >>>>
>> >>
>> /home/scoulibaly/Téléchargements/mahout-distribution-0.6/examples/bin/ratings.dat');
>> >>>>> echo $output;
>> >>>>>
>> >>>>>
>> >>>>> Unfortunately the output I get is as follows :
>> >>>>>
>> >>>>> creating work directory at /tmp/mahout-work-www-data
>> >>>>>
>> >>>>> Converting ratings...
>> >>>>>
>> >>>>> MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
>> >>>>> no HADOOP_HOME set, running locally
>> >>>>> MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
>> >>>>> no HADOOP_HOME set, running locally
>> >>>>> MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
>> >>>>> no HADOOP_HOME set, running locally
>> >>>>> MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
>> >>>>> no HADOOP_HOME set, running locally
>> >>>>>
>> >>>>> RMSE is:
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Sample recommendations:
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> removing work directory
>> >>>>>
>> >>>>>
>> >>>>> I know this is not strictly a Mahout issue, but if someone could
>> point
>> >>>> me a
>> >>>>> way to start Mahout jobs from a PHP script, I'd be very grateful !
>> >>>>>
>> >>>>> Thank you
>> >>>>>
>> >>>>
>> >>>
>> >>
>> >>
>> >
>>
>>
>
