On Tue, Apr 30, 2013 at 8:55 AM, Niraj Shrestha wrote:
> Bad version number in .class file
>
Which version of Java are you using?
-- Forwarded message --
From: Niraj Shrestha
Date: Mon, Apr 29, 2013 at 10:52 AM
Subject: Re: confirm subscribe to user@mahout.apache.org
To: user-sc.1366987102.kodgkbdcejldfnoinbmj-nshresthan=
gmail@mahout.apache.org
Dear Sir
I tried to install mahout in ubuntu, but got the
Keep in mind that time dynamics generally have benefit for predicting
ratings. The point is that the average rating for a person goes up and
down over time even if their general taste doesn't change. Likewise for an
item.
If you use implicit feedback and recommend based on recent behavior most o
GraphLab -- http://docs.graphlab.org/collaborative_filtering.html#SVD_PLUS_PLUS
On Tue, Apr 30, 2013 at 3:30 PM, Chirag Lakhani wrote:
> Do you know of any other large scale machine learning platforms that do
> incorporate it?
>
>
> On Tue, Apr 30, 2013 at 10:21 AM, Sean Owen wrote:
>
>> No, tim
Do you know of any other large scale machine learning platforms that do
incorporate it?
On Tue, Apr 30, 2013 at 10:21 AM, Sean Owen wrote:
> No, time is in the data model but nothing uses it that I know of.
>
> On Tue, Apr 30, 2013 at 3:18 PM, Chirag Lakhani
> wrote:
> > I was wondering if the
No, time is in the data model but nothing uses it that I know of.
On Tue, Apr 30, 2013 at 3:18 PM, Chirag Lakhani wrote:
> I was wondering if the collaborative filtering library in Mahout has any
> algorithms that incorporate concept drift i.e. time dynamics. From my own
> research I have come a
I was wondering if the collaborative filtering library in Mahout has any
algorithms that incorporate concept drift i.e. time dynamics. From my own
research I have come across the BellKor algorithm called TimeSVD++ and
there is a recent paper using hidden markov models with collaborative
filtering.
I should say that it depends of course on what you are implementing.
You can also write an algorithm to factor R, not P. If you're doing
that, then I would not expect values to be so low. But I thought you
were following the version where you factor P = R != 0.
Multiplying by 3 and adding 1 would
Thanks again for replying.
I didn't expect that since I'm using explicit feedback, not implicit, but
mostly because the part files in U/ and V/ multiplied together give me back
predicted ratings on a 1-4 scale.
Would converting the 0/1 connection indicator to a 1-4 scale be any sort of
reasonabl
