mahout recommendation help

[Seby Paul <se...@yahoo.com>]

Hi,
There is no user preference in our data file.   i can create recommendations with mhaout using LogLikelihoodSimilarity and TanimotoCoefficientSimilarity.

Is it possible to use any other similarity metrics without the preference value ?


thank you
seby paul

Re: mahout recommendation help

[Sean Owen <sr...@gmail.com>]

There's no built-in function but you could iterate through the data model
and compute that easily.

On Sun, Feb 6, 2011 at 5:46 PM, Steven Bourke <st...@ucd.ie> wrote:

> Yeah if something is to good to be true... !  I didn't notice anything
> particularly different about the item based approach over the user based.
>
> Are there  functions built into mahout so I can check how dense / sparse
> the user,item matrix is?
>
>

Re: mahout recommendation help

[Steven Bourke <st...@ucd.ie>]

Yeah if something is to good to be true... !  I didn't notice anything particularly different about the item based approach over the user based.

Are there  functions built into mahout so I can check how dense / sparse the user,item matrix is?

Steven Bourke
Clarity Centre for Sensor Web Technologies,
Science North,
School of Computer Science & Informatics,
University College Dublin.

On 6 Feb 2011, at 17:35, Sean Owen wrote:

> I don't know of anything of particular significance. Good results are good,
> but, too good suggests a target leak or something.
> 
> On Sun, Feb 6, 2011 at 5:15 PM, Steven Bourke <st...@ucd.ie> wrote:
> 
>> Has anyone used the boolean pref item recommender from 0.5 snapshot?  I was
>> wondering if there is any other work being carried out on it ? I couldn't
>> find anything in the JIRA system.
>> 
>> I ask because I ran it on some data as a comparison and got surprisingly
>> good results when running evaluations against it.
>> 
>> 

Re: mahout recommendation help

[Sean Owen <sr...@gmail.com>]

I don't know of anything of particular significance. Good results are good,
but, too good suggests a target leak or something.

On Sun, Feb 6, 2011 at 5:15 PM, Steven Bourke <st...@ucd.ie> wrote:

> Has anyone used the boolean pref item recommender from 0.5 snapshot?  I was
> wondering if there is any other work being carried out on it ? I couldn't
> find anything in the JIRA system.
>
> I ask because I ran it on some data as a comparison and got surprisingly
> good results when running evaluations against it.
>
>

Re: mahout recommendation help

[Steven Bourke <st...@ucd.ie>]

Has anyone used the boolean pref item recommender from 0.5 snapshot?  I was wondering if there is any other work being carried out on it ? I couldn't find anything in the JIRA system. 

I ask because I ran it on some data as a comparison and got surprisingly good results when running evaluations against it. 

Steven Bourke
Clarity Centre for Sensor Web Technologies,
Science North,
School of Computer Science & Informatics,
University College Dublin.

On 5 Feb 2011, at 23:11, Lance Norskog wrote:

> Hi-
> 
> This is a boolean case, so you can use the Boolean preference and
> similarity classes.
> 
> On Fri, Feb 4, 2011 at 2:12 PM, Seby Paul <se...@yahoo.com> wrote:
>> Hi,
>> There is no user preference in our data file.   i can create recommendations with mhaout using LogLikelihoodSimilarity and TanimotoCoefficientSimilarity.
>> 
>> Is it possible to use any other similarity metrics without the preference value ?
>> 
>> 
>> thank you
>> seby paul
>> 
>> 
>> 
> 
> 
> 
> -- 
> Lance Norskog
> goksron@gmail.com

Re: mahout recommendation help

[Lance Norskog <go...@gmail.com>]

Hi-

This is a boolean case, so you can use the Boolean preference and
similarity classes.

On Fri, Feb 4, 2011 at 2:12 PM, Seby Paul <se...@yahoo.com> wrote:
> Hi,
> There is no user preference in our data file.   i can create recommendations with mhaout using LogLikelihoodSimilarity and TanimotoCoefficientSimilarity.
>
> Is it possible to use any other similarity metrics without the preference value ?
>
>
> thank you
> seby paul
>
>
>



-- 
Lance Norskog
goksron@gmail.com