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.
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References
Belkin, N.: Keynote: Some(what) Grand Challenges for Information Retrieval. In: 30th European Conference on Information Retrieval Research. Glasgow, Scotland (2008)
Belkin, N., Bierig, R., Buscher, G., Van Elst, L., Gwizdka, J., Jose, J., Teevan, J.: Workshop on Understanding the User. In: 32nd Annual ACM SIGIR Conference, Boston, USA (2009)
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© 2010 Springer-Verlag Berlin Heidelberg
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Bierig, R., Cole, M., Gwizdka, J., Belkin, N.J. (2010). A Data Analysis and Modelling Framework for the Evaluation of Interactive Information Retrieval. In: Gurrin, C., et al. Advances in Information Retrieval. ECIR 2010. Lecture Notes in Computer Science, vol 5993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12275-0_76
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DOI: https://doi.org/10.1007/978-3-642-12275-0_76
Publisher Name: Springer, Berlin, Heidelberg
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