On Obtaining Effort Based Judgements for Information Retrieval

Abstract

Document relevance has been the primary focus in the design, optimization and evaluation of retrieval systems. Traditional testcollections are constructed by asking judges the relevance grade for a document with respect to an input query. Recent work of Yilmaz et al. found an evidence that effort is another important factor in determining document utility, suggesting that more thought should be given into incorporating effort into information retrieval. However, that work did not ask judges to directly assess the level of effort required to consume a document or analyse how effort judgements relate to traditional relevance judgements. In this work, focusing on three aspects associated with effort, we show that it is possible to get judgements of effort from the assessors. We further show that given documents of the same relevance grade, effort needed to find the portion of the document relevant to the query is a significant factor in determining user satisfaction as well as user preference between these documents. Our results suggest that if the end goal is to build retrieval systems that optimize user satisfaction, effort should be included as an additional factor to relevance in building and evaluating retrieval systems. We further show that new retrieval features are needed if the goal is to build retrieval systems that jointly optimize relevance and effort and propose a set of such features. Finally, we focus on the evaluation of retrieval systems and show that incorporating effort into retrieval evaluation could lead to significant differences regarding the performance of retrieval systems.