On topic difficulty in IR evaluation: The effect of systems, corpora, and system components

Fabio Zampieri, Kevin Roitero, J. Shane Culpepper, Oren Kurland, Stefano Mizzaro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In a test collection setting, topic difficulty can be defined as the average effectiveness of a set of systems for a topic. In this paper we study the effects on the topic difficulty of: (i) the set of retrieval systems; (ii) the underlying document corpus; and (iii) the system components. By generalizing methods recently proposed to study system component factor analysis, we perform a comprehensive analysis on topic difficulty and the relative effects of systems, corpora, and component interactions. Ourfi ndings show that corpora have the most significant effect on topic difficulty.

Original languageEnglish
Title of host publicationSIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages909-912
Number of pages4
ISBN (Electronic)9781450361729
DOIs
StatePublished - 18 Jul 2019
Event42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019 - Paris, France
Duration: 21 Jul 201925 Jul 2019

Publication series

NameSIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019
Country/TerritoryFrance
CityParis
Period21/07/1925/07/19

ASJC Scopus subject areas

  • Information Systems
  • Applied Mathematics
  • Software

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