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<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">* We apologize if you receive multiple copies of this CfP *</span></p>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">* For the online version of this Call, visit:
</span><a href="https://www.um.org/umap2024/call-for-full-and-short-papers/"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">https://www.um.org/umap2024/call-for-full-and-short-papers/</span></a></p>
<p class="MsoNormal"><span lang="EN-GB">===============</span></p>
<p class="MsoNormal"><span lang="EN-GB"> </span></p>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization</span></p>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">Cagliari, Sardinia, Italy</span></p>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">July 1-4, 2024</span></p>
<p style="margin:0cm"> </p>
<p style="margin-bottom:15.0pt"><b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">ACM UMAP</span></b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white"> is the premier international
 conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information.
<b>ACM UMAP</b> is sponsored by </span><a href="https://sigchi.org/"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">ACM SIGCHI</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">
 and </span><a href="https://www.sigweb.org/"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">SIGWEB</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">.
</span><a href="https://um.org/"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">User Modeling Inc.</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">, as the
 core Steering Committee, oversees the conference organization. The proceedings, published by ACM, will be part of the
</span><a href="https://dl.acm.org/"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">ACM Digital Library</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">.</span></p>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">The theme of
<b>UMAP 2024</b> is “<i>Collaboration and Cooperation for the Greater Good</i>“. Specifically, we welcome submissions that highlight the impact that working together and synergy (such as between academia, industry, influential policy making bodies, committees
 and communities) can have on solving the world’s biggest problems; the focus is on investigations that capture how user modeling, personalization, and adaptation of (intelligent) systems may influence user behavior, trustful processes and whether new models
 are required, for building sustainable and inclusive services and solutions that can address critical challenges of our world.</span></p>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">While we encourage submissions related to this theme, the scope of the conference is not limited to the theme only. As always, contributions from
 academia, industry, and other organizations discussing open challenges or novel research approaches are expected to be supported by rigorous evidence appropriate to claims (e.g., user study, system evaluation, computational analysis).</span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"> </p>
<h2 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">Important Dates </span><o:p></o:p></h2>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">- Paper Abstract Submission: January 22, 2024 (mandatory)</span></p>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">- Paper Submission: January 29, 2024</span></p>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">- Notification: March 28, 2024</span></p>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">- Camera-ready Submission: May 9, 2024</span></p>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">- Conference: July 1 – 4, 2024</span></p>
<p style="margin-bottom:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">The submissions deadlines are at 11:59 pm AoE time (Anywhere on Earth).</span></p>
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<h2 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white"> </span><o:p></o:p></h2>
<h2 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">Conference Topics </span><o:p></o:p></h2>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">We welcome submissions related to user modeling, personalization, and adaptation of (intelligent) systems targeting a broad range of users and
 domains. Detailed descriptions and the suggested topics for each track will be available shortly in the extended version of the CFP on this page.</span></p>
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<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Personalized Recommender Systems **</span><o:p></o:p></h4>
<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white;font-weight:normal">This track invites works from researchers and practitioners on recommender systems. In addition to mature research
 works addressing technical aspects of recommendations, we welcome research contributions that address questions related to user perception, decision-making, and the business value of recommender systems.</span><o:p></o:p></h4>
<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Knowledge Graphs, Semantics, Social and Adaptive Web **</span><o:p></o:p></h4>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">This track welcomes works focused on the use of knowledge representations (i.e., novel knowledge bases), graph algorithms (i.e., graph embedding
 techniques), and social network analysis at the service of addressing all aspects of personalization, user model building, and personal experience in online social systems. Moreover, this track invites works in adaptive hypermedia, as well as semantic and
 social web.</span></p>
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<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Intelligent User Interfaces **</span><o:p></o:p></h4>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">This track invites works exploring how to make the interaction between computers and people smarter and more productive, leveraging solutions
 from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning.</span></p>
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<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Personalizing Learning Experiences through User Modeling **</span><o:p></o:p></h4>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">This track invites researchers, developers, and practitioners from various disciplines to submit their innovative learning solutions, share acquired
 experiences, and discuss their modeling challenges for personalized adaptive learning.</span></p>
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<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Fairness, Transparency, Accountability, and Privacy **</span><o:p></o:p></h4>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">Researchers, developers, and practitioners have a social responsibility to account for the impact that technologies have on individuals (users,
 providers, and other stakeholders) and society. This track invites works related to the science of building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, respectful of users’ privacy, beneficial to society, and accountable
 for their impacts.</span></p>
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<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Personalization for Persuasive and Behavior Change Systems **</span><o:p></o:p></h4>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">This track invites submissions focused on personalization and tailoring for persuasive technologies, including but not limited to personalization
 models, user models, computational personalization, design, and evaluation methods. It also welcomes work that brings attention to the user experience and designing personalized and adaptive behavior change technologies.</span></p>
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<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Virtual Assistants, Conversational Interactions, and Personalized Human-Robot Interaction **</span><o:p></o:p></h4>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">This track invites works investigating new models and techniques for adapting synthetic companions (e.g., virtual assistants, chatbots, social
 robots) to individual users. With the conversational modality so in vogue across disciplines, this track welcomes work highlighting the model and deployment of synthetic companions driven by conversational search and recommendation paradigms.</span></p>
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<h4 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Research Methods and Reproducibility**</span><o:p></o:p></h4>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">This track invites submissions on methodologies to evaluate personalized systems, benchmarks, and measurement scales, with particular attention
 to the reproducibility of results and techniques. Furthermore, the track looks for submissions that report new insights from reproducing existing works.</span></p>
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<h2 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">** Submission and Review Process** </span><o:p></o:p></h2>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">For
<b>UMAP 2024</b> we encourage two kinds of submissions (reviewers will comment on whether the size is appropriate for each contribution), in the
</span><a href="https://www.acm.org/publications/proceedings-template"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">ACM new single-column format</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">:</span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="color:#272626;mso-list:l1 level1 lfo3;vertical-align:baseline">
<b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;background:white">Long papers</span></b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;background:white"> should report on substantial contributions of lasting value. The maximum
 length is <b>14</b> pages (<b>excluding references</b>, which do not count towards the limit). Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program.</span><o:p></o:p></li><li class="MsoNormal" style="color:#272626;margin-bottom:15.0pt;mso-list:l1 level1 lfo3;vertical-align:baseline">
<b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;background:white">Short papers</span></b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;background:white"> typically discuss exciting new work that is not yet mature enough for a
 long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. The maximum length is
<b>7</b> pages (<b>excluding references</b>, which do not count towards the limit). Each accepted short paper will be included in the conference proceedings and presented either as an oral presentation or at the poster session.</span><o:p></o:p></li></ul>
<p style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">UMAP uses a
<b>double-blind</b> review process. Authors must omit their names and affiliations from their submissions; they should also avoid obvious identifying statements. For instance, citations to the authors’ prior work should be in the third person. Submissions not
 abiding by anonymity requirements will be desk rejected. In addition, UMAP 2024 will introduce a new “<i>Raise Your Voice</i>” stage during evaluation, offering a small window to authors to optionally discuss the initial decision of their submission, enhancing
 the transparency and quality of the reviewing process. Additional review criteria and submission link will be available shortly on the conference website:
</span><a href="https://www.um.org/umap2024"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">https://www.um.org/umap2024</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">.</span></p>
<p style="margin:0cm"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">UMAP has a
<b>no dual submission</b> policy, which is why full and short paper submissions should not be currently under review at another publication venue. Further, UMAP operates under the
</span><a href="https://www.acm.org/about-acm/policy-against-harassment"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#1155CC;background:white">ACM Conference Code of Conduc</span></a><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">t.</span></p>
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<h2 style="margin-bottom:15.0pt"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">Program Chairs </span><o:p></o:p></h2>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="color:#272626;mso-list:l0 level1 lfo6;vertical-align:baseline">
<span style="font-size:10.0pt;font-family:"Arial",sans-serif;background:white">Panagiotis Germanakos, SAP SE, Germany</span><o:p></o:p></li><li class="MsoNormal" style="color:#272626;margin-bottom:15.0pt;mso-list:l0 level1 lfo6;vertical-align:baseline">
<span style="font-size:10.0pt;font-family:"Arial",sans-serif;background:white">Elvira Popescu, University of Craiova, Romania</span><o:p></o:p></li></ul>
<p style="margin:0cm"><b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white">Contact information:
</span></b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:#272626;background:white"><a href="mailto:umap2024-program@um.org">umap2024-program@um.org</a></span></p>
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