Good stuff. You should try and test which is most effective of the four models by taking a subset of the books you have already rated as the training set and use the rest to generate ratings with each model and see how this matches up to your actual ratings (for the size of your sample, maybe an 80%-20% split). I’d be interested to see which model matches your rating most accurately. (Also try rotating what books are in the 80 and which are in the 20 to see if that makes a difference.)
Good stuff. You should try and test which is most effective of the four models by taking a subset of the books you have already rated as the training set and use the rest to generate ratings with each model and see how this matches up to your actual ratings (for the size of your sample, maybe an 80%-20% split). I’d be interested to see which model matches your rating most accurately. (Also try rotating what books are in the 80 and which are in the 20 to see if that makes a difference.)
Very interesting experience. Thanks for sharing.