[OPEN-ILS-GENERAL] Awesome Box Integration

[Rogan Hamby]

I can see some challenges to tracking genre and I'd be hesitant to put too
much value on it.  There are ways to catalog it but in my experience
actually relying on it being in records (much less being consistent) is
very unreliable in organizations that do a lot of copy cataloging / don't
have centralized and controlled cataloging and there quite a few in that
boat.

That concern aside, I've always thought this would be a fun and potentially
valuable thing to add.

On Thu, Sep 25, 2014 at 1:44 PM, Vanya Jauhal <vanyajauhal at gmail.com> wrote:

> Hello everyone
>
> I'm Vanya, from India. I'm a candidate for OPW Round9 internship with
> evergreen.
>
> While discussing the idea of Awesome Box integration with Evergreen,
> Kathy and I discussed the possibility of making the Evergreen support for
> Awesome Box more interpretive using Artificial Intelligence.
>
> What if we could train the system to give weightage to people's "awesome"
> tags on items, depending upon how much their previous tags are appreciated
> by other people.
>
> For example: Let's say you tag a book to be awesome. Now, if 100 other
> people check that book in, and (lets say) 80 of them also tag it to be
> awesome- it will mean that your opinion matches a majority of people. On
> the other hand, if 100 other people check that book in and (say) only 5 of
> them tag it as awesome, this would mean that your awesome tag is not in
> coherence with the majority.
> So, in the former case, your awesome tag can be given more weightage as
> compared to the latter.
>
> Also, the weightage may vary according to genres. So- you may have a good
> taste in mystery books but your taste in classical literature might not be
> the same as the majority crowd. So- the weightage of your awesome tag in
> mystery would be higher than classical literature.
>
> We can even extend it to provide recommendations to users depending on
> their coherence with other users with similar taste.
>
> I am looking forward to your suggestions and feedback on this.
>
> Thank you for your time
> Vanya
>



-- 

Rogan Hamby, MLS, CCNP, MIA
Managers Headquarters Library and Reference Services,
York County Library System

“You can never get a cup of tea large enough or a book long enough to suit
me.”
― C.S. Lewis <http://www.goodreads.com/author/show/1069006.C_S_Lewis>
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