Plugging this group-wise model adaptation into the logistic function, we can get a personalized logistic regression model P u (y d = 1|x d ) for user u as follows, where w s is the feature weight vector in the global model f s (x).
personalized model adaptation boils down to identifying the optimal model transformation operation A u for each user based on w s and D u .