1. A computer-implemented method comprising: receiving (i) data including a set of terms associated with a target user, and, (ii) from each of multiple other users, data including a set of terms associated with the other user; selecting a particular other user based at least on comparing the set of terms associated with the target user to the sets of terms associated with the other users; selecting one or more terms from the set of terms that is associated with the particular other user; obtaining, based on the selected terms that are associated with the particular other user, a biased language model; and providing the biased language model to an automated speech recognizer.