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        <identifier>oai:www.ideals.illinois.edu:2142/98304</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Zhai, ChengXiang</dc:contributor>
          <dc:creator>Sun, Bofan</dc:creator>
          <dc:date>2017-09-29T17:52:29Z</dc:date>
          <dc:date>2017-09-29T17:52:29Z</dc:date>
          <dc:date>2019-09-30T09:15:14Z</dc:date>
          <dc:date>2017-07-20</dc:date>
          <dc:date>2017-08</dc:date>
          <dc:description>Optimizing interactive information retrieval interfaces is a new trend in IR which focuses more on the interface design and formalizes interactive IR. However, none of existing work has proposed a system to support both adaptive web design and navigational interface, a primary goal of this thesis. We propose the very first browsing system that can adapt to screen size and inferred user need potentially during the process of information retrieval at every interaction. AdaptiveScreen not only presents a user-friendly interface with adaptive web design but also connects with a novel interface card model which formally models the interactive retrieval task. We show that AdaptiveScreen improves upon the prototype system from the perspective of system architecture and system implementations. AdaptiveScreen is redesigned in the manner of classic software architectural pattern Model-View-Controller. By comparing the screen shots and performance between AdaptiveScreen and the prototype system on both laptops and movable devices, we can conclude that AdaptiveScreen successfully leverages the effectiveness of Interface Card Model (ICM) proposed before and overcomes the weakness of prototype system. In the end, we hope the new system can demonstrate the potential applications of algorithms based on ICM and stimulate other researchers in the field of interactive IR.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-08-01</dc:description>
          <dc:description>The student, Bofan Sun, accepted the attached license on 2017-07-19 at 12:44.</dc:description>
          <dc:description>The student, Bofan Sun, submitted this Thesis for approval on 2017-07-19 at 12:49.</dc:description>
          <dc:description>This Thesis was approved for publication on 2017-07-20 at 09:47.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #11532 on 2017-09-29 at 11:19:55</dc:description>
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  Previous issue date: 2017-07-20</dc:description>
          <dc:description>Embargo set by: Colleen Fallaw for item 103512
Lift date: 2019-09-29T17:52:45Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Limited Restriction Lifted for Item 103512 on 2019-09-30T09:15:14Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/98304</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2017 Bofan Sun</dc:rights>
          <dc:subject>Interactive information retrieval</dc:subject>
          <dc:subject>Adaptive web design</dc:subject>
          <dc:title>Adaptivescreen: an adaptive news browser for laptops and mobile devices</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Computer Science</department>
            <discipline>Computer Science</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
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