This is the Get Booked podcast, sort of.

And this is our semi-new reading recommendation experiment, human versus algorithm.

We are recording on September 27th I'm John

Northington I'm here with Vanessa Diaz and we're coming to you from book ride

Vanessa welcome back hello here I am I know you helped kick off the experiment

and now you're back it was only a matter of time. It's true.

It's very true.

So if you've not been listening along, we're trying out some changes with the format of this show.

And how it works is we are going into the get booked recommendation request form and email to find four listener questions.

And then one of us picks like a personalized, a human recommendation for that question.

And the other one researches using some kind of book recommendation algorithm to find what the algorithm thinks is a good pick.

And then we talk about how that went and what we think about it.

And Vanessa, you've done regular get booked.

Yes, I've done regular get booked.

Yep.

Yeah.

So like, what did you think?

How did it go? This is really hard. It shouldn't be. Well, okay, it's not that it's really hard. Let me, it's funny, because having done get booked, which is obviously a more robust and that like you're, you know, doing recommendations for everybody. So, you know, that's obviously, I guess, a little bit more effort and work.

By hard, I don't mean effort so much as, as I think you've talked about with, I know for

sure on the Erica episode, it's really hard to completely let the algorithm do the work for

you.

And that was the part that I struggled with.

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