A data analysis and modelling framework for the evaluation of interactive information retrieval

Ralf Bierig, Michael Cole, Jacek Gwizdka, Nicholas J. Belkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Over the last two decades, Interactive Information Retrieval (IIR) has established a new direction within the long tradition of IR that introduces the user at its center and poses new challenges for system evaluation. IR systems can improve performance by utilizing information about the entire interactive process of search. This approach has so far only been initially explored [1,2] with much potential for the future. This demonstration describes an extensible data analysis and modelling framework that enables researchers to integrate, explore and analyze interactive experiment data obtained from task-based IIR experiments and build and test models of interactive user behavior.

Original languageEnglish (US)
Title of host publicationAdvances in Information Retrieval - 32nd European Conference on IR Research, ECIR 2010, Proceedings
PublisherSpringer Verlag
Pages673-674
Number of pages2
ISBN (Print)3642122744, 9783642122743
DOIs
StatePublished - 2010
Event32nd European Conference on Information Retrieval, ECIR 2010 - Milton Keynes, United Kingdom
Duration: Mar 28 2010Mar 31 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5993 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other32nd European Conference on Information Retrieval, ECIR 2010
Country/TerritoryUnited Kingdom
CityMilton Keynes
Period3/28/103/31/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'A data analysis and modelling framework for the evaluation of interactive information retrieval'. Together they form a unique fingerprint.

Cite this