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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>N. J. Belkin); Gareth.Jones@dcu.ie (G. J. F. Jones); kando@nii.ac.jp (N. Kando);
pasi@disco.unimib.it (G. Pasi)
~ https://comminfo.rutgers.edu/belkin-nicholas (N. J. Belkin); https://www.computing.dcu.ie/~gjones/
(G. J. F. Jones); https://researchmap.jp/kando/ (N. Kando); http://www.ir.disco.unimib.it/people/pasi-gabriella/
(G. Pasi)</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Preface to the Third Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2021)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Nicholas J. Belkin</string-name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Gareth J. F. Jones</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Noriko Kando</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Gabriella Pasi</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>ADAPT Centre, School of Computing, Dublin City University</institution>
          ,
          <addr-line>Dublin 9</addr-line>
          ,
          <country country="IE">Ireland</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Department of Informatics, Systems &amp; Communication, University of Milano-Bicocca</institution>
          ,
          <addr-line>Milan</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>National Institute of Informatics (NII)</institution>
          ,
          <addr-line>Tokyo</addr-line>
          ,
          <country country="JP">Japan</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>School of Communication &amp; Information, Rutgers University</institution>
          ,
          <addr-line>New Brunswick, NJ</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2021</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>The Third Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2021) continued the explorations from the first two editions of this workshop, into issues relating to evaluation in information retrieval where the search system includes personalisation. The workshop included invited keynote presentations, peer reviewed papers and participant working groups. The Third Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2021) [1] at CHIIR 2021 brought together researchers interested in developing methods for the evaluation of personalisation in information retrieval. WEPIR 2021 was a follow on to the first WEPIR held at at CHIIR 2018 [2] and the second WEPIR held at CHIIR 2019 [3]. WEPIR 2021 included invited keynotes, peer reviewed paper presentations and online breakout working groups focused on the exploration of two specific use cases in the evaluation of personalisation in information retrieval. Breakout groups worked on the development of methods to address evaluation of personalisation in their use case. Each group sought to identify specific relevant factors relating to their use case in terms of factors including user activities, data to be collected, ethical issues, and evaluation metrics. The overall goal of the workshop was to work towards developing a general set of principles and guidelines for addressing the evaluation of specific instances of the use of personalisation in information retrieval tasks.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
    </sec>
    <sec id="sec-2">
      <title>2. Keynote Presentations, Accepted Papers and Breakout</title>
    </sec>
    <sec id="sec-3">
      <title>Groups</title>
      <p>WEPIR 2021 featured two invited keynote presentations, three peer reviewed papers and two
online breakout discussion groups.</p>
      <sec id="sec-3-1">
        <title>Keynote Presentations</title>
        <p>The following keynote presentations were made at WEPIR 2021, further details of the talks can
be found on the workshop website1
• Keynote 1: Making A Diference in User Search Experience Hideo Joho, Faculty of</p>
        <p>Library, Information and Media Science, University of Tsukuba, Japan
• Keynote 2: From Sessions to Conversations and Back Again Evangelos Kanoulas,</p>
        <p>Information Retrieval Lab, University of Amsterdam, The Netherlands</p>
      </sec>
      <sec id="sec-3-2">
        <title>Accepted Papers</title>
        <p>The following peer reviewed papers were presented at WEPIR 2021. These paper are included
in these proceedings.</p>
        <p>• Yoshiyuki Shoji, Kenro Aihara, Martin J. Dürst, Noriko Kando, Takuya Nakaya, Hiroaki
Ohshima, Takehiro Yamamoto, Yusuke Yamamoto: Location-based Reminder for
Memorizing What Visitors Learn at a Museum
• Yasin Ghafourian, Petr Knoth, Allan Hanbury: Information Retrieval Evaluation in
Knowledge Acquisition Tasks
• Masaki Ueta, Tomoya Hashiguchi, Huu-Long Pham, Yoshiyuki Shoji, Noriko Kando,
Yusuke Yamamoto, Takehiro Yamamoto, Hiroaki Ohshima: Quiz Generation on the
Electronic Guide Application for Improving Learning Experience in the Museum</p>
      </sec>
      <sec id="sec-3-3">
        <title>Breakout Working Groups</title>
        <p>Two breakout groups examined topics relating to personalisation in the following search
application areas:
• Personalization of Museum Visitors’ Experiences
• Personalised Medical Search
[2] G. J. F. Jones, N. J. Belkin, S. Lawless, G. Pasi, Report on the CHIIR 2019 Second Workshop
on Evaluation of Personalisation in Information Retrieval (WEPIR 2019), SIGIR Forum 53
(2019) 29–37.
[3] G. J. F. Jones, N. J. Belkin, S. Lawless, G. Pasi, Report on the CHIIR 2018 Workshop on
Evaluation of Personalisation in Information Retrieval (WEPIR 2018), SIGIR Forum 52 (2018)
129–134.</p>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <given-names>G. J. F.</given-names>
            <surname>Jones</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N. J.</given-names>
            <surname>Belkin</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Kando</surname>
          </string-name>
          , G. Pasi, Third Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR
          <year>2020</year>
          ),
          <source>in: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval</source>
          , CHIIR '20,
          <string-name>
            <surname>Association</surname>
          </string-name>
          for Computing Machinery, New York, NY, USA,
          <year>2020</year>
          , p.
          <fpage>488</fpage>
          -
          <lpage>491</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>