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</o:shapelayout></xml><![endif]--></head><body lang=ZH-TW link="#0563C1" vlink="#954F72" style='text-justify-trim:punctuation'><div class=WordSection1><p class=MsoNormal><span lang=EN-US>Dear List Members,<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span lang=EN-US>Apologies for cross-posting.<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR). The 46th ACM SIGIR conference, will be run as a hybrid conference – in person in Taiwan, with support for remote participation, from July 23rd to 27th, 2023. We welcome contributions related to any aspect of information retrieval and access, including theories, foundations, algorithms, evaluation, analysis, and applications. The conference and program chairs invite researchers to submit original short papers, which will be presented as posters at the conference. Short papers provide an opportunity to describe significant novel work in progress or research that is best communicated in an interactive or graphical format. Compared to full papers, their contribution may be narrower in scope, be applied to a narrower set of application domains, or have weaker empirical support than that expected for a full paper. Submissions likely to generate discussions in new and emerging areas of IR are especially encouraged.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Please note a CFP for other paper tracks, as well as workshops, tutorials, doctoral consortium, industry day, and other SIGIR 2023 venues will be released separately.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><a name="_o5nwhg4m4lyz"></a><b><span lang=EN-US style='font-size:24.0pt;line-height:140%'>Important Dates<o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Time zone:<span style='color:#333333'> </span><a href="https://www.timeanddate.com/time/zones/aoe"><span style='color:#03A9F4;text-decoration:none'>Anywhere on Earth (AoE)</span></a><span style='color:#03A9F4'><o:p></o:p></span></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:140%;mso-list:l5 level1 lfo1;background:white'><span lang=EN-US>Short paper abstracts due: February 14, 2023<o:p></o:p></span></li><li class=MsoNormal style='line-height:140%;mso-list:l5 level1 lfo1;background:white'><span lang=EN-US>Short papers due: February 21, 2023<o:p></o:p></span></li><li class=MsoNormal style='line-height:140%;mso-list:l5 level1 lfo1;background:white'><span lang=EN-US>Short paper notifications: April 4, 2023<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;mso-list:l5 level1 lfo1;background:white'><span lang=EN-US>Camera ready papers due: April 26, 2023<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Publication date: accepted papers will be published open access on the ACM Digital Library up to two weeks prior to the conference opening date (exact date TBA)<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Short paper authors are required to submit an abstract by midnight February 14, 2023 AoE. Paper submission (deadline: midnight February 21, 2023 AoE) is not possible without a submitted abstract. Immediately after the abstract deadline, PC Chairs will desk reject submissions that lack informative titles and abstracts (“placeholder abstracts”).<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><a name="_b89bxcp9qkdz"></a><b><span lang=EN-US style='font-size:24.0pt;line-height:140%'>Submission Guidelines<o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>See this<span style='color:#333333'> </span><a href="https://sigir.org/sigir2023/submit/call-for-full-papers/checklist-to-strengthen-an-ir-paper/"><i><span style='color:#1155CC'>brief checklist to strengthen an IR paper</span></i></a>, for authors and reviewers.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Short research papers must describe original work that has not been previously published, not accepted for publication elsewhere, and not simultaneously submitted or currently under review in another journal or conference (including the other paper tracks of SIGIR 2023).<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Submissions of short research papers must be in English, in PDF format, and be at most 4 pages (including figures, tables, proofs, appendixes, acknowledgments, and any content except references) in length, with unrestricted space for references, in the current ACM two-column conference format. Suitable LaTeX, Word, and<span style='color:#333333'> </span><a href="https://www.overleaf.com/gallery/tagged/acm-official"><i><span style='color:#03A9F4;text-decoration:none'>Overleaf</span></i></a><i><span style='color:#333333'> </span></i>templates are available from the <a href="https://www.acm.org/publications/proceedings-template"><i><span style='color:#03A9F4;text-decoration:none'>ACM Website</span></i></a><span style='color:#333333'> </span>(use “sigconf” proceedings template for LaTeX and the Interim Template for Word). ACM’s CCS concepts and keywords are not required for review but may be required if accepted and published by the ACM.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>For LaTeX, the following should be used:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='color:#333333;background:whitesmoke'>\documentclass[sigconf,natbib,anonymous,review]{acmart}<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US style='background:whitesmoke'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Submissions must be anonymous and should be submitted electronically via EasyChair:<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US><a href="https://easychair.org/conferences?conf=sigir23"><i><span style='color:#1155CC'>https://easychair.org/conferences?conf=sigir23</span></i></a><i><span style='color:#03A9F4'><o:p></o:p></span></i></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>At least one author of each accepted paper is required to register for, and present the work at the conference.<o:p></o:p></span></p><span lang=EN-US style='font-size:12.0pt;line-height:140%;font-family:"Calibri",sans-serif;mso-fareast-language:ZH-TW'><br clear=all style='page-break-before:always'></span><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><a name="_obc0ty32l6kd"></a><b><span lang=EN-US style='font-size:24.0pt;line-height:140%'>Anonymity<o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>The short paper review process is double-blind. Authors are required to take all reasonable steps to preserve the anonymity of their submission. The submission must not include author information and must not include citations or discussion of related work in a way that would make the authorship apparent. While authors can upload to institutional or other preprint repositories such as arXiv.org before reviewing is complete, we generally discourage this since it places anonymity at risk. If the paper is already on arXiv, please change the title and abstract so that it is not immediately obvious they are the same. Do not upload the paper to a preprint site after submission to SIGIR—wait until a review decision to avoid reviewers seeing the paper in daily digests or other places. Breaking anonymity puts the submission at risk of being desk rejected.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Authors should carefully go through<span style='color:#333333'> </span><a href="https://www.acm.org/publications/policies/authorship"><i><span style='color:#03A9F4;text-decoration:none'>ACM’s authorship policy</span></i></a><span style='color:#333333'> </span>before submitting a paper. Please ensure that all authors are clearly identified in EasyChair before the submission deadline. To support the identification of reviewers with conflicts of interest, the full author list must be specified at submission time. <i>No changes to authorship</i> will be permitted for the camera-ready submission under any circumstance or after submissions close. So please, make sure you have them listed correctly when submissions close.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><a name="_e9b4psyp9z3t"></a><b><span lang=EN-US style='font-size:24.0pt;line-height:140%'>Desk Rejection Policy<o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Submissions that violate the preprint policy, anonymity, length, or formatting requirements, or are determined to violate<span style='color:#333333'> </span><a href="https://www.acm.org/publications/policies/plagiarism-overview"><i><span style='color:#03A9F4;text-decoration:none'>ACM’s policies on academic dishonesty</span></i></a>, including plagiarism, author misrepresentation, falsification, etc., are subject to desk rejection by the chairs. Any of the following may result in desk rejection:<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Figures, tables, proofs, appendixes, acknowledgements, or any other content after page 4 of the submission.<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Formatting not in line with the guidelines provided above.<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Authors or authors’ institutional affiliations clearly named or easily discoverable.<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Links to source code repositories that reveal author identities, or extended versions of the current paper. It is recommended to hold these for the final published version and<span style='color:#333333'> </span><a href="https://sigir.org/general-information/acm-sigir-artifact-badging/"><i><span style='color:#03A9F4;text-decoration:none'>submit source code for artifact review.</span></i></a><o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Addition of authors after abstract submission.<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Content that has been determined to have been copied from other sources.<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Any form of academic fraud or dishonesty.<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l8 level1 lfo2;background:white'><span lang=EN-US>Lack of topical fit for SIGIR.<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><a name="_dhltp4lysmxq"></a><b><span lang=EN-US style='font-size:24.0pt;line-height:140%'>Relevant Topics<o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><span lang=EN-US>Relevant topics include:<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><b><span lang=EN-US>Search and Ranking.</span></b><span lang=EN-US> Research on core IR algorithmic topics, including IR at scale, such as:<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l1 level1 lfo3;background:white'><span lang=EN-US>Queries and query analysis (e.g., query intent, query understanding, query suggestion and prediction, query representation and reformulation, spoken queries).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l1 level1 lfo3;background:white'><span lang=EN-US>Web search (e.g., ranking at web scale, link analysis, sponsored search, search advertising, adversarial search and spam, vertical search).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l1 level1 lfo3;background:white'><span lang=EN-US>Retrieval models and ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity, aggregated search, dealing with bias).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l1 level1 lfo3;background:white'><span lang=EN-US>Efficiency and scalability (e.g., indexing, crawling, compression, search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud).<o:p></o:p></span></li></ul><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l7 level1 lfo4;background:white'><span lang=EN-US>Theoretical models and foundations of information retrieval and access (e.g., new theory, fundamental concepts, theoretical analysis).<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><b><span lang=EN-US>Search Recommendation & Content Analysis for Search and Recommendation.</span></b><span lang=EN-US> Research focusing on recommender systems, rich content representations and content analysis for search and recommendation, such as:<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l0 level1 lfo5;background:white'><span lang=EN-US>Filtering and recommendation (e.g., content-based filtering, collaborative filtering, recommender systems, recommendation algorithms, zero-query and implicit search, personalized recommendation).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l0 level1 lfo5;background:white'><span lang=EN-US>Document representation and content analysis for search or recommendation (<span style='background:#F8F8F8'>e.g., cross-lingual and multilingual search, NLP: summarization, text representation, linguistic analysis, readability, opinion mining and sentiment analysis, clustering, classification, topic models for search and recommendation</span>).<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l0 level1 lfo5;background:white'><span lang=EN-US>Knowledge acquisition (e.g. information extraction, relation extraction, event extraction, query understanding, human-in-the-loop knowledge acquisition).<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><b><span lang=EN-US>Machine Learning and Natural Language Processing for Search and Recommendation.</span></b><span lang=EN-US> Research bridging ML, NLP, and IR.<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l3 level1 lfo6;background:white'><span lang=EN-US>Core ML (e.g. deep learning for IR, embeddings, intelligent personal assistants and agents, unbiased learning).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l3 level1 lfo6;background:white'><span lang=EN-US>Question answering (e.g., factoid and non-factoid question answering, interactive question answering, community-based question answering, question answering systems).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l3 level1 lfo6;background:white'><span lang=EN-US>Conversational systems (e.g., conversational search interaction, dialog systems, spoken language interfaces, intelligent chat systems).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l3 level1 lfo6;background:white'><span lang=EN-US>Explicit semantics (e.g. semantic search, named-entities, relation and event extraction).<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l3 level1 lfo6;background:white'><span lang=EN-US>Knowledge representation and reasoning (e.g., link prediction, knowledge graph completion, query understanding, knowledge-guided query and document representation, ontology modeling).<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><b><span lang=EN-US>Humans and Interfaces.</span></b><span lang=EN-US> Research into user-centric aspects of IR including user interfaces, behavior modeling, privacy, interactive systems, such as:<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l9 level1 lfo7;background:white'><span lang=EN-US>Mining and modeling users (e.g., user and task models, click models, log analysis, behavioral analysis, modeling and simulation of information interaction, attention modeling).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l9 level1 lfo7;background:white'><span lang=EN-US>Interactive search (e.g., search interfaces, information access, exploratory search, search context, whole-session support, proactive search, personalized search).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l9 level1 lfo7;background:white'><span lang=EN-US>Social search (e.g., social media search, social tagging, crowdsourcing).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l9 level1 lfo7;background:white'><span lang=EN-US>Collaborative search (e.g., human-in-the-loop, knowledge acquisition).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l9 level1 lfo7;background:white'><span lang=EN-US>Information security (e.g., privacy, surveillance, censorship, encryption, security).<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l9 level1 lfo7;background:white'><span lang=EN-US>User studies comparing theory to human behaviour for search and recommendation.<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><b><span lang=EN-US>Evaluation.</span></b><span lang=EN-US> Research that focuses on the measurement and evaluation of IR systems, such as:<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l2 level1 lfo8;background:white'><span lang=EN-US>User-centered evaluation (e.g., user experience and performance, user engagement, search task design).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l2 level1 lfo8;background:white'><span lang=EN-US>System-centered evaluation (e.g., evaluation metrics, test collections, experimental design, evaluation pipelines, crowdsourcing).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l2 level1 lfo8;background:white'><span lang=EN-US>Beyond Cranfield (e.g., online evaluation, task-based, session-based, multi-turn, interactive search).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l2 level1 lfo8;background:white'><span lang=EN-US>Beyond labels (e.g., simulation, implicit signals, eye-tracking and physiological signals).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l2 level1 lfo8;background:white'><span lang=EN-US>Beyond effectiveness (e.g., value, utility, usefulness, diversity, novelty, urgency, freshness, credibility, authority).<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l2 level1 lfo8;background:white'><span lang=EN-US>Methodology (e.g., statistical methods, reproducibility, dealing with bias, new experimental approaches, metrics for metrics).<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><b><span lang=EN-US>Fairness, Accountability, Transparency, Ethics, and Explainability (FATE) in IR.</span></b><span lang=EN-US> Research on aspects of fairness and bias in search and recommender systems.<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l6 level1 lfo9;background:white'><span lang=EN-US>Fairness, accountability, transparency (e.g. confidentiality, representativeness, discrimination and harmful bias).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l6 level1 lfo9;background:white'><span lang=EN-US>Ethics, economics, and politics (e.g., studies on broader implications, norms and ethics, economic value, political impact, social good).<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l6 level1 lfo9;background:white'><span lang=EN-US>Two-sided search and recommendation scenarios (e.g. matching users and providers, marketplaces).<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><b><span lang=EN-US>Domain-specific Applications.</span></b><span lang=EN-US> Research focusing on domain-specific IR challenges, such as:<o:p></o:p></span></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Local and mobile search (e.g., location-based search, mobile usage understanding, mobile result presentation, audio and touch interfaces, geographic search, location context in search).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Social search (e.g., social networks in search, social media in search, blog and microblog search, forum search).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Search in structured data (e.g., XML search, graph search, ranking in databases, desktop search, email search, entity-oriented search).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Multimedia search (e.g., image search, video search, speech and audio search, music search).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Education (e.g., search for educational support, peer matching, info seeking in online courses).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Legal (e.g., e-discovery, patents, other applications in law).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Health (e.g., medical, genomics, bioinformatics, other applications in health).<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Knowledge graph applications (e.g. conversational search, semantic search, entity search, KB question answering, knowledge-guided NLP, search and recommendation).<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l4 level1 lfo10;background:white'><span lang=EN-US>Other applications and domains (e.g., digital libraries, enterprise, expert search, news search, app search, archival search, new retrieval problems including applications of search technology for social good).<o:p></o:p></span></li></ul><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><a name="_l76szeclg68l"></a><b><span lang=EN-US style='font-size:24.0pt;line-height:140%'>Short Papers Chairs<o:p></o:p></span></b></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='line-height:165%;mso-list:l10 level1 lfo11;background:white'><span lang=EN-US>Xiangnan He, University of Science and Technology of China<o:p></o:p></span></li><li class=MsoNormal style='line-height:165%;mso-list:l10 level1 lfo11;background:white'><span lang=EN-US>Julián Urbano, Delft University of Technology<o:p></o:p></span></li><li class=MsoNormal style='margin-bottom:8.0pt;line-height:165%;mso-list:l10 level1 lfo11;background:white'><span lang=EN-US>Grace Hui Yang, Georgetown University<o:p></o:p></span></li></ul><span lang=EN-US style='font-size:12.0pt;line-height:140%;font-family:"Calibri",sans-serif;mso-fareast-language:ZH-TW'><br clear=all style='page-break-before:always'></span><p class=MsoNormal style='margin-bottom:8.0pt;line-height:140%;background:white'><a name="_s86puzh42v85"></a><b><span lang=EN-US style='font-size:24.0pt;line-height:140%'>Contact<o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US>For any questions about short paper submissions you may contact the Short Papers Chairs by email to<span style='color:#333333'> </span><a href="sigir23-short@easychair.org"><i>sigir23-short</i><i><span style='mso-fareast-language:JA'>@</span>easychair</i><i><span style='mso-fareast-language:JA'>.</span>org</i></a><o:p></o:p></span></p></div></body></html>