Thanks, I was able to run.
1. Is there a difference between
org.apache.mahout.cf.taste.hadoop.item.RecommenderJob and
org.apache.mahout.cf.taste.hadoop.psuedo.RecommenderJob apart from one
being for fully distributed and other for psuedo distributed mode. As
one has an implementation of recommendor class to run and the other
similarity.
2. There is no documentation given about the inbuilt similarity
classes, can you suggest me some reading which gives detail about the
implementation of those classes, also an example on how to write on of
our own would be very helpful.
@kumar , I will try to read the book as well.
Thanks again,
Prashant.
Quoting Kumar Kandasami <[email protected]>:
In addition, you can refer the book Mahout in Action (MEAP) books that gives
a high level overview on the algorithm used in the distributed item based
recommendation.
Kumar _/|\_
www.saisk.com
[email protected]
"making a profound difference with knowledge and creativity..."
On Tue, Jun 14, 2011 at 1:26 AM, Sean Owen <[email protected]> wrote:
Read the javadoc for
org.apache.mahout.cf.taste.hadoop.item.RecommendJob. It not only
documents how to run it, but inside you see all the jobs its runs,
which are also documented. In general good idea to browse the source
first!
On Tue, Jun 14, 2011 at 6:39 AM, Prashant Sharma
<[email protected]> wrote:
> Hi ,
>
> I am new to mahout and I am trying to get a basic recommender example to
run
> as map reduce job. Please provide me some good references or examples to
> read.
>
> Thanks,
> Prashant.
>
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