3 ms·

>From the company's POV, aren't they likely to benefit from setting you up on dates that either go mildly unfortunately, or leading to a short-term relationship

>From the company's POV, aren't they likely to benefit from setting you up on dates that either go mildly unfortunately, or leading to a short-term relationship at best? The customers are paying for dates after all, not long term relationships. I can't imagine there's a data scientist alive who could devise an algorithm that accurately, reliably predicts "kind of a good match but not really", given only some limited inputs (basic info + photos). I reckon from the company's perspective that positive word of mouth from people who like the app is a much better focus point.

sk0g 4y ago
I was more thinking based on input data about things like what you are looking for in a partner, whether you are after a long-term relationship or not, etc. Then you throw in all that data to the ML deities and hope the output is something roughly related to what you're after. Fair enough about word of mouth though, relationship durations are probably linearly correlated to the number of endorsements given by each customer - at some point in a relationship you end up with a rehearsed "so how did you two meet?"!
AnIdiotOnTheNet 4y ago
Actually I think this would be relatively easy, you're just looking for a bit of alignment in worldview and significant desperation.
solardev 4y ago
The old ok cupid had a bunch of quiz questions that it'd match you for, both similarity and dissimilarity weighted by self reported importance. Then Match Group bought them out and mostly gutted that system and turned it into another swiper :/ There's still eharmony, but I think that's just for white Christian boomers mainly.
hoseja 4y ago
The "limited" inputs include: All your conduct on the app, your "advertising" dossier. Seems doable, frankly.
kadoban 4y ago
> I can't imagine there's a data scientist alive who could devise an algorithm that accurately, reliably predicts "kind of a good match but not really", given only some limited inputs (basic info + photos). One approach would be to make the problem easier, just preferentially match people with a partner who is known to have short relationships and no/few awful reviews, based on history on the site.

sk0g 4y ago

I was more thinking based on input data about things like what you are looking for in a partner, whether you are after a long-term relationship or not, etc. Then you throw in all that data to the ML deities and hope the output is something roughly related to what you're after. Fair enough about word of mouth though, relationship durations are probably linearly correlated to the number of endorsements given by each customer - at some point in a relationship you end up with a rehearsed "so how did you two meet?"!

AnIdiotOnTheNet 4y ago

Actually I think this would be relatively easy, you're just looking for a bit of alignment in worldview and significant desperation.

solardev 4y ago

The old ok cupid had a bunch of quiz questions that it'd match you for, both similarity and dissimilarity weighted by self reported importance. Then Match Group bought them out and mostly gutted that system and turned it into another swiper :/ There's still eharmony, but I think that's just for white Christian boomers mainly.

hoseja 4y ago

The "limited" inputs include: All your conduct on the app, your "advertising" dossier. Seems doable, frankly.

kadoban 4y ago

> I can't imagine there's a data scientist alive who could devise an algorithm that accurately, reliably predicts "kind of a good match but not really", given only some limited inputs (basic info + photos). One approach would be to make the problem easier, just preferentially match people with a partner who is known to have short relationships and no/few awful reviews, based on history on the site.