Traditional summarization involves two essential requirements: (1) coverage: the summary should keep alignment with the source collection, which is proved to be significant (Li et al., 2009).
we present an important and novel summarization problem, Interactive Personalized Summarization (IPS), which generates summaries based on human−system interaction for "interests" and personalization.