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        <article-title>Mixed-Initiative Conversational Information Seeking</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Hamed Zamani</string-name>
          <email>zamani@cs.umass.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Center for Intelligent Information Retrieval</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Manning College of Information and Computer Sciences</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Massachusetts Amherst</institution>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2022</year>
      </pub-date>
      <abstract>
        <p>While conversational information seeking has roots in early information retrieval research, recent advances in automatic speech recognition and conversational agents as well as popularity of devices with limited bandwidth interfaces have led to increasing interest in this area. An ideal conversational information seeking system requires to go beyond the typical “query-response” paradigm by supporting mixed-initiative interactions. In this talk, I will review the recent eforts on developing mixed-initiative conversational information seeking systems and draw connections with early work on interactive information retrieval. I will describe methods for generating and evaluating clarifying questions in response to information seeking requests. I will further highlight the connections between conversational search and recommendation, and finish with a discussion on the next steps that require significant progress in the context of mixed-initiative conversational information seeking.</p>
      </abstract>
      <kwd-group>
        <kwd>Dialogue systems</kwd>
        <kwd>conversational search</kwd>
        <kwd>interactive information retrieval</kwd>
        <kwd>pro-active conversations</kwd>
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      <p>Biography
Hamed Zamani is an Assistant Professor at the University of Massachusetts Amherst (UMass),
where he also serves as the Associate Director of the Center for Intelligent Information Retrieval
(CIIR). Prior to UMass, he was a Researcher at Microsoft. He received his Ph.D. from UMass
under supervision of W. Bruce Croft and achieved the Outstanding Dissertation Award. He is
an active member of the IR community and published over 80 peer-reviewed articles. He is
known for his work on neural information retrieval and conversational information seeking.
He is a recipient of NSF CAREER Award in 2022 for Conversational IR research. His group was
also selected for the Alexa Prize Challenge 2021. He has co-organized multiple workshops at
SIGIR, WSDM, and RecSys conferences and has served as Senior Program Committee members
at major IR conferences, such as SIGIR, WSDM, CIKM, and WWW. He is currently serving as
an Associate Editor for ACM Transactions on Information Systems (TOIS).</p>
      <p>First Workshop on Proactive and Agent-Supported Information Retrieval (PASIR’22) organized as part of CIKM 2022, Oct</p>
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