22. metrics:
is the overall RMSE improving?
is the precision/recall of the classification improving?
23. lessons:
(1) the web is a goldmine of ratings –
waiting to be harvested
(2) recommender systems need to
model how people make decisions
(3) accuracy is possible without
tuning
24. lessons:
(2) recommender systems need to
model how people make decisions
(3) accuracy is possible without
tuning
25. lessons:
(3) accuracy is possible without
tuning:
...from rating prediction to user classification
...from hybrid predictors to hybrid datasets