Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering?
Kevin Roitero, Stefano Mizzaro · Institutional Research Information System (University of Udine) · 2016
We consider the issue of using fewer topics in the effectiveness evaluation of information retrieval systems.Previous work has shown that using fewer topics is theoretically possible; one of the main issues that remains to be solved is how to find such a small set of a few good topics.To this aim, in this paper we try a novel approach based on clustering of topics.We consider various algorithms, metrics, and various features of topics that can be helpful in identifying such a set.