ABSTRACT
Utility-based information distillation is a new challenge in information retrieval, focusing on effective ways to combine technologies from adaptive filtering (AF), novelty detection, anti-redundant passage ranking and flexible user feedback. The ultimate goal is to improve the true utility of the system, as well as to support effective and efficient user feedback. To see why utilitybased distillation is a practically important problem and an open challenge for research, let us briefly outline the related work in Adaptive filtering and Topic Detection and Tracking, and visit some limitations of the current solutions.
