Re: How to combine boolean datamodel with datamodel

[gabeweb <ga...@htc.com>]

Hi, I'm interested in following up on this question about combining boolean
and non-boolean data.  Young and Sean mentioned two ways of doing this:

(1) Assign each boolean data point an arbitrary rating, such as 4 out of 5.

(2) Assume that all of the data is boolean, i.e. ignore the explicit
ratings.

Are there any other ways of doing this that folks have found to work well? 
I could imagine, for example, that instead of assigning each boolean data
point an arbitrary rating (such as 4), one could assign it the average of
the non-boolean ratings.

The problem with any method of combining boolean and non-boolean data is
that it can't be tested objectively, because it is a means of constructing a
dataset -- including the test data!  So it seems that only a subjective
evaluation could differentiate among different options.  I'm hoping that
someone else has already done something along these lines.

Thanks much in advance.
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Re: How to combine boolean datamodel with datamodel

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

John can you define this a bit more? It's an interesting area and want
to be able to give more targeted responses if I can (same for others).
You are trying to evaluate how "good" your mapping of user behavior to
implicit rating is? Or something else.

On Wed, Dec 22, 2010 at 9:25 AM, John Hurliman <jh...@cull.tv> wrote:
> I am also interested in the problem of testing a model where implicit
> feedback is converted to explicit ratings. Please let me know if you
> find any research/work in this area.

Re: How to combine boolean datamodel with datamodel

[John Hurliman <jh...@cull.tv>]

On Thu, Dec 16, 2010 at 8:55 PM, gabeweb <ga...@htc.com> wrote:
>
> Hi, I'm interested in following up on this question about combining boolean
> and non-boolean data.  Young and Sean mentioned two ways of doing this:
>
> (1) Assign each boolean data point an arbitrary rating, such as 4 out of 5.
>
> (2) Assume that all of the data is boolean, i.e. ignore the explicit
> ratings.
>
> Are there any other ways of doing this that folks have found to work well?
> I could imagine, for example, that instead of assigning each boolean data
> point an arbitrary rating (such as 4), one could assign it the average of
> the non-boolean ratings.
>
> The problem with any method of combining boolean and non-boolean data is
> that it can't be tested objectively, because it is a means of constructing a
> dataset -- including the test data!  So it seems that only a subjective
> evaluation could differentiate among different options.  I'm hoping that
> someone else has already done something along these lines.
>
> Thanks much in advance.
> --

I am also interested in the problem of testing a model where implicit
feedback is converted to explicit ratings. Please let me know if you
find any research/work in this area.