A common way to combine different models consists of selecting the model that is most confident regarding its decision ( Burke 2002 ) .
hybrid recommender systems user modeling and useradapted interaction
R Burke
In this section , we describe a meta-level process which can automatically select a response-generation method to address a new request without using such thresholds . A common way to combine different models consists of selecting the model that is most confident regarding its decision ( Burke 2002 ) . However , in our case , the individual confidence ( applicability ) measures employed by our response-generation methods are not comparable ( e.g. , the retrieval score in Doc-Ret is different in nature from the prediction probability in Doc-Pred ) .
A common way to combine different models consists of selecting the model that is most confident regarding its decision ( @@CITATION ) .