My items are products with name and description and maybe caption extracted
from the image too.
2017-05-11 0:12 GMT+04:00 Pat Ferrel :
> What are your items? How much text? What other content? Unless you are
> recommending long for blogs or news NLP won’t give you much except maybe
> word2vec, wh
What are your items? How much text? What other content? Unless you are
recommending long for blogs or news NLP won’t give you much except maybe
word2vec, which, if it has a good model, will give better than bag-of-words.
On May 10, 2017, at 1:05 PM, Marius Rabenarivo
wrote:
So in you opinion
So in you opinion, do you think that the NLP task should be done in the
Engine part using a library like mallet or should be implemented in
algorithm focused library : mahout?
2017-05-10 23:52 GMT+04:00 Pat Ferrel :
> That is how to make personalized content-based recommendations.You’d have
> to
That is how to make personalized content-based recommendations.You’d have to
input content by attaching it to items and recording it separately as a usage
event per content bit. The input , for instance would be every term in the
description of an item the user purchased. The input would be huge
Hello,
So to what does the matrix T and vector h_t in this slide match to? :
https://docs.google.com/presentation/d/1MzIGFsATNeAYnLfoR6797ofcLeFRKSX7KB8GAYNtNPY/edit#slide=id.gf4d43b9e8_1_24
2017-05-10 21:10 GMT+04:00 Pat Ferrel :
> Content based recommendations are based on, well, content. You
Content based recommendations are based on, well, content. You can really only
make recs if you have an example item as with the recommendations you see at
the bottom of product page on Amazon.
For this make sure t have lots of properties of items, even keywords from
descriptions will work, but
According to the docs, the UR is considered as hybrid collaborative
filtering / content-based filtering.
In my case I have a purchase history. Quite a lot of products are never
bought so traditional techniques won't be able to make recommendations. For
those products (never bought/sold), will recom
yes to all for UR v0.5.0
UR v0.6.0 is sitting in the `develop` branch waiting for one more minor fix to
be released. It uses the latest release of Mahout 0.13.0 so no need to build it
for the project. Several new features too. I expect it to be out this week.
On May 8, 2017, at 3:07 AM, Dennis
Hi,
Are the following docs up-to-date?
PredictionIO: http://actionml.com/docs/pio_quickstart.
Is version 0.11.0 suitable for UR?
The UR: http://actionml.com/docs/ur.
Is 0.5.0 the latest version?
Is Mahout still necessary?
Thanks,
Dennis
