Exploring Topic Difficulty in Information Retrieval Systems Evaluation

Abstract

Abstract Experimental or relevance assessment cost as well as reliability of an information retrieval (IR) evaluation is highly correlated to the number of topics used. The need of many assessors to produce equivalent large relevance judgments often incurs high cost and time. So, large number of topics in retrieval experiment is not practical and economical. This experiment proposes an approach to identify most effective topics in evaluating IR systems with regards to topic difficulty. The proposed approach is capable of identifying which topics and topic set size are reliable when evaluating system effectiveness. Easy topics appeared to be most suitable for effectively evaluating IR systems.