Hi,
There seems to be no Hadoop implementation of ParallelSGDFactorizer.
ALSWRFactorizer has a Hadoop implementation.
ParallelSGDFactorizer (since it is based on stochastic gradient
descent) is much faster than ALSWRFactorizer.
I don't know Hadoop much. But it seems to me that a Hadoop
It seems that I've had the wrong idea the entire time. Thanks for the help.
On Fri, Sep 6, 2013 at 3:45 PM, Suneel Marthi suneel_mar...@yahoo.comwrote:
seq2sparse uses Lucene Standard tokenization to generate the tfidf
vectors. But since your data is in CSV format (from the example u had
IIRC the algorithm behind ParallelSGDFactorizer needs shared memory,
which is not given in a shared-nothing environment.
On 07.09.2013 19:08, Tevfik Aytekin wrote:
Hi,
There seems to be no Hadoop implementation of ParallelSGDFactorizer.
ALSWRFactorizer has a Hadoop implementation.
On Fri, Sep 6, 2013 at 9:33 AM, Pat Ferrel pat.fer...@gmail.com wrote:
One of the unique things about the Solr recommender is online recs. Two
scenarios come to mind:
1) ask the user to pick from among a list of videos, taking the picks as
preferences and making recs. Make more and see if
Sebastian, what is IIRC?
On Sat, Sep 7, 2013 at 8:24 PM, Sebastian Schelter
ssc.o...@googlemail.com wrote:
IIRC the algorithm behind ParallelSGDFactorizer needs shared memory,
which is not given in a shared-nothing environment.
On 07.09.2013 19:08, Tevfik Aytekin wrote:
Hi,
There seems to
That means If I Recall Correctly. It is an internet slang.
See also http://en.wiktionary.org/wiki/Appendix:English_internet_slang
On Sat, Sep 7, 2013 at 12:39 PM, Tevfik Aytekin tevfik.ayte...@gmail.comwrote:
Sebastian, what is IIRC?
On Sat, Sep 7, 2013 at 8:24 PM, Sebastian Schelter
Darius comments are good.
You also have to think about what similar means to you. From the data you
describe, I see several possibilities:
- geo-location from machine id (if it includes IP address)
- content from the query
- frequency of posting
- diurnal phase of posting (tells us time
On Sep 7, 2013, at 10:36 AM, Ted Dunning ted.dunn...@gmail.com wrote:
On Fri, Sep 6, 2013 at 9:33 AM, Pat Ferrel pat.fer...@gmail.com wrote:
One of the unique things about the Solr recommender is online recs. Two
scenarios come to mind:
1) ask the user to pick from among a list of
On Sat, Sep 7, 2013 at 2:35 PM, Pat Ferrel p...@occamsmachete.com wrote:
...
Clustering can be done by doing SVD or ALS on the user x thing matrix
first
or by directly clustering the columns of the user x thing matrix after
some
kind of IDF weighting. I think that only the streaming
