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skippyfa t1_ivcp7b4 wrote

Amateur is my favorite genre but the new trend of highly produced amateur doesn't really work for me. Is this recognized and separated with your recommendations?

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prndra OP t1_ivcq3kw wrote

We don't specifically classify amateur into highly produced vs not highly produced, but let's start! Our site supports community tagging, and you can create your own tags. So if you start tagging the amateur content you like with something like 'Cheap Amateur', and that tag becomes popular, the system will naturally start recommending more of that type of amateur to you.

Also, early next year, we'll start building a collaborative filtering deep learning recommendation engine that will take into account these implicit preferences as well. We just need more data to do this type of machine learning well.

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LuucMeldgaard t1_ivcqioi wrote

How did you come up with this idea for a company?

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prndra OP t1_ivcqnwd wrote

I thought maybe it had to, since we're a porn site. The moderators of this sub took down my post unfortunately, hoping to get it back up. I just removed the NSFW tag.

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prndra OP t1_ivcr5bm wrote

Early in my career, I was actually an engineer at Tinder, and I remember thinking why can't we apply this type of technology to porn, it would be so fun. You could just swipe left or right on porn that you like and the system would get better and better at learning what you like, and wouldn't be it be funny if it was called Porndora since Pandora is already so good at this with music.

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