a better way to distribute internal resources and rewards amongst competing data science teams within match group.
Yeah, additionally, a prediction market may be a good way to aggregate the predictions of heterogenous prediction models.
Manifold.Love’s lack of success
It’s important to note that manifold.love basically still has not been tried; has only existed for a few months and is still missing some core features.
Though I do expect most of its matchmaking strength wont come from its prediction features. Prediction markets could still be used in this space to appoint paid professional matchmakers (who would place bets like, “there will be a second date conditional on a first date”, or “if these two read my introductions, 8% probability they’ll eventually get married”), and to filter spam or abuse (to send a message, you have to bet that the recipient probably wont hate it).
This question can probably be operationalized as “how much richer will CupidBot be than all human matchmakers combined.”
Yeah, additionally, a prediction market may be a good way to aggregate the predictions of heterogenous prediction models.
It’s important to note that manifold.love basically still has not been tried; has only existed for a few months and is still missing some core features.
Though I do expect most of its matchmaking strength wont come from its prediction features. Prediction markets could still be used in this space to appoint paid professional matchmakers (who would place bets like, “there will be a second date conditional on a first date”, or “if these two read my introductions, 8% probability they’ll eventually get married”), and to filter spam or abuse (to send a message, you have to bet that the recipient probably wont hate it).
This question can probably be operationalized as “how much richer will CupidBot be than all human matchmakers combined.”