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Simulating Interactive Information Retrieval

David Maxwell, Leif Azzopardi
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Thus, we present SimIIR, an open-source toolkit for building and conducting Interactive Information Retrieval (IIR) experiments.  ...  The SimIIR framework provides a series of interchangeable components.  ...  Acknowledgments We would like to thank Professor Kalervo Järvelin and Dr Heikki Keskustalo at the University of Tampere, Finland for their co-operation and participation in a STSM, funded by the ESF supported  ... 
doi:10.1145/2911451.2911469 dblp:conf/sigir/MaxwellA16 fatcat:5k75ixcx75acffcsdxa6q6fawy

Information Scent, Searching and Stopping [chapter]

David Maxwell, Leif Azzopardi
2018 Lecture Notes in Computer Science  
Current models and measures of the Interactive Information Retrieval (IIR) process typically assume that a searcher will always examine the first snippet in a given Search Engine Results Page (SERP), and  ...  That is, the information scent affects their decision to continue. In this work, we examine whether considering the information scent of a page leads to better predictions of stopping behaviour.  ...  We would also like to thank the anonymous reviewers for their comments and feedback. Finally, the lead author is funded by the UK Government though the EPSRC, grant number 1367507.  ... 
doi:10.1007/978-3-319-76941-7_16 fatcat:tbvyuiicgndgbmt4xk5g32e2ay

Searching, Learning, and Subtopic Ordering: A Simulation-based Analysis [article]

Arthur Câmara, David Maxwell, Claudia Hauff
2022 arXiv   pre-print
While these models generally work well for simpler informational needs, we argue that searcher models need to be developed further to allow for the decomposition of a complex search task into multiple  ...  Finally, we report on the first large-scale simulated analysis of user behaviours in the SAL domain. Results demonstrate that the SACSM, under certain conditions, simulates user behaviours accurately.  ...  To further help research efforts, we also make public our implementation of the SACSM, built on top of the already established SimIIR framework.  ... 
arXiv:2201.11181v1 fatcat:hctzy3kklrel5pgr4mn26lnic4

Agents, Simulated Users and Humans

David Maxwell, Leif Azzopardi
2016 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16  
Most of the current models that are used to simulate users in Interactive Information Retrieval (IIR) lack realism and agency.  ...  Such models generally make decisions in a stochastic manner, without recourse to the actual information encountered or the underlying information need.  ...  Acknowledgments We wish to thank the anonymous reviewers for their insightful feedback. The lead author is funded by the UK Government through the EPSRC, grant number 1367507.  ... 
doi:10.1145/2983323.2983805 dblp:conf/cikm/MaxwellA16 fatcat:zxb2w3j62ndjrof6m3a63iu7fe

Modelling search and stopping in interactive information retrieval

David Martin Maxwell
2019
Searching for information when using a computerised retrieval system is a complex and inherently interactive process.  ...  Notwithstanding the limited exploration of stopping during search, the phenomenon is central to the study of Information Retrieval, playing a role in the models and measures that we employ.  ...  Simulating interactive information retrieval: Simiir: A framework for the simulation of interaction.  ... 
doi:10.5525/gla.thesis.41132 fatcat:5igaggni6rcgdjvczsrhqa5l5y