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

Authors:
Ralf Bierig;Michael Cole;Jacek Gwizdka;Nicholas J. Belkin
Affiliations:
School of Communication and Information, Rutgers University;School of Communication and Information, Rutgers University;School of Communication and Information, Rutgers University;School of Communication and Information, Rutgers University
Venue:
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Year:
2010

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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.