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prospective_students.html
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<!DOCTYPE html>
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<meta name="author" content="Dr Guido Zuccon - Senior Lecturer in Information Retrieval - Queensland University of Technology">
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<title>Dr Guido Zuccon - Senior Lecturer in Information Retrieval - Queensland University of Technology</title>
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<h2>Prospective Students</h2>
</br>
<p>Are you a student wanting to do research on search engines? </p>
<p>Are you keen to improve how medical information is accessed? </p>
<p>Are you keen to understand how people search, where they succeed and why they fail? </p>
<p>Are you interested in mathematical models for search (including interactive search)? </p>
<p>Then <a href="mailto:g.zuccon@qut.edu.au?Subject=Prospective%20Student" target="_top">get in touch</a>. We have Honours and PhD positions available; we also regularly offer undergraduate and master projects (these are published through QUT's InPlace).
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<p class="welcome">Welcome to the official website of the Asian Information Retrieval Societies Conference, 2-4 December 2015, Brisbane, Queensland, Australia.</p>
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<p>Example topics of research for prospective students include:
<ul>
<li><strong>Consumer health search:</strong> how everyday people search for medical advice using web search engines; how to make search engines more effective for this task; aspects that influence relevance in this task and their inclusion in the evaluation of search engines.</li>
<li><strong>Clinical information retrieval:</strong> how clinicians search for evidence based medicine and medical knowledge; effective systems for finding evidence based medicine; effective systems for cohort selection for clinical trials; systems powered by search and text mining capabilities to automatize systematic reviews.</li>
<li><strong>Formal models of semantic search: </strong> development and evaluation of search methods that exploit semantics, e.g. that use word embeddings; models based on knowledge graphs.</li>
<li><strong>Formal models of interactions: </strong> how to model the user; what are the factors that influence the interaction between the user and the search system.</li>
<li><strong>App search: </strong> how do people search for apps, e.g. which queries do they issue and which search behaviour do they show; effective systems for finding apps according to the task that needs to be accomplished/functionalities that are required.</li>
<!--<li><strong>Tools for search engine evaluation: </strong> 1. extensions to <a href="https://github.com/ielab/relevation">Relevation!</a>, including logging, configuration menus, runs evaluations, multi-user support; 2. prototyping of evidence based medicine search engine.</li>-->
</ul>
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<h3>Latest Tweets by @guidozuc</h3>
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