Is there anyone here on Less Wrong who knows about Collaborative Filtering? I’m using the TakeOnIt expert opinion database to make various kinds of predictions. One is to predict an expert’s opinions given a subset of their opinions. Another will be to predict correct vs. mistaken contrarianism.
I’ve created a couple of prototypes using the simpler CF algorithms, but the accuracy isn’t great. In one case it predicts Eliezer should believe in acupuncture! Having less sparse data will partly alieviate the problem. But I also need a better algorithm. However, the better algorithms such as the ones using Bayesian Networks look non-trivial. Some guidance would be appreciated.
Is there anyone here on Less Wrong who knows about Collaborative Filtering? I’m using the TakeOnIt expert opinion database to make various kinds of predictions. One is to predict an expert’s opinions given a subset of their opinions. Another will be to predict correct vs. mistaken contrarianism.
I’ve created a couple of prototypes using the simpler CF algorithms, but the accuracy isn’t great. In one case it predicts Eliezer should believe in acupuncture! Having less sparse data will partly alieviate the problem. But I also need a better algorithm. However, the better algorithms such as the ones using Bayesian Networks look non-trivial. Some guidance would be appreciated.