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      Improving Information Retrieval Evaluation via Markovian User Models and Visual Analytics

      Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015) (FDIA 2015)

      Future Directions in Information Access

      31 August - 4 September 2015

      Evaluation, Markov Precision, User Model, Visual Analytics

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          Abstract

          To address the challenge of adapting experimental evaluation to the constantly evolving user tasks and needs, we develop a new family of Markovian Information Retrieval (IR) evaluation measures, called Markov Precision (MP), where the interaction between the user and the ranked result list is modelled via Markov chains, and which will be able to explicitly link lab-style and on-line evaluation methods. Moreover, since experimental results are often not so easy to understand, we will develop a Web-based Visual Analytics (VA) prototype where an animated state diagram of the Markov chain will explain how the user is interacting with the ranked result list in order to offer a support for a careful failure analysis.

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          Author and article information

          Contributors
          Conference
          September 2015
          September 2015
          : 11-14
          Affiliations
          Department of Information Engineering

          University of Padua, Italy
          10.14236/ewic/FDIA2015.4
          © Maistro. Published by BCS Learning and Development Ltd. Proceedings of the 6 th Symposium on Future Directions in Information Access 2015

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015)
          FDIA 2015
          6
          Thessaloniki, Greece
          31 August - 4 September 2015
          Electronic Workshops in Computing (eWiC)
          Future Directions in Information Access
          Product
          Product Information: 1477-9358 BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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