Guido Zuccon

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Professor, UQ.

I am a Professor at the University of Queensland’s Electrical Engineering and Computer Science School, and the Director of Artificial Intelligence for the Queensland Digital Health Center (QDHeC). I am the research leader of the ielab. I had been an ARC DECRA Fellow (2018-2020). My research interests span a number of topics:

• Formal models of Information Retrieval; in particular I am interested in
  • models of search, information seeking and interactions
  • semantic models of search
  • exploiting word embeddings in Information Retrieval
  • evaluation of Information Retrieval (including task-based evaluation)
• Medical/Health Information Retrieval and Data Science; in particular I am interested in
  • retrieval models & strategies for consumers searching the web for health advise
  • retrieval models & strategies for cohort identification for clinical trials from electronic medical records
  • retrieval models & strategies for clinical decision support and evidence-based medicine
  • models, approaches and strategies for automating systematic reviews, in particular with respect to the search phase
  • health search evaluation

If you are a UQ student, or a prospective one, and you are interested to work with me as part of your studies, you can find ideas for research projects for PhD and other research degrees here. I also welcome international higher education students wanting to do a research visit and collaborating on ideas within my research interests.

See my publications below for more information, and my Google Scholar profile for an up to date list of publications including citation metrics.

Publications

• Xinyu Mao and Bevan Koopman and Guido Zuccon. 2024. A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. In Proceedings of the 46th European Conference on Information Retrieval (ECIR 2024).
• Xinyu Mao and Shengyao Zhuang and Bevan Koopman and Guido Zuccon. 2024. Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024).
• Ismail Sabei and Mahmoud Galal and Bevan Koopman and Guido Zuccon. 2024. Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-points. In Proceedings of the 2nd International ACM SIGIR Conference on Information Retrieval in the Asia Pacific.
• Shuyi Wang and Guido Zuccon. 2023. An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems. In Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR ’23).
• Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2023. Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
• Shuai Wang and Guido Zuccon. 2023. Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
• Shuai Wang and Hang Li and Guido Zuccon. 2023. MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. In The 16th ACM International Conference on Web Search and Data Mining.
• Rischan Mafrur and Mohamed A. Sharaf and Guido Zuccon. 2023. VizPut: Insight-Aware Imputation of Incomplete Data for Visualization Recommendation. In arXiv.
• Mohamed A. Sharaf and Rischan Mafrur and Guido Zuccon. 2023. Efficient Diversification for Recommending Aggregate Data Visualizations. In IEEE Access.
• wojciech-kusa and Guido Zuccon and petr-knoth and allan-hanbury. 2023. Outcome-based Evaluation of Systematic Review Automation?. In Proceedings of the the 13th International Conference on the Theory of Information Retrieval (ICTIR '23).
• Joel Mackenzie and Shengyao Zhuang and Guido Zuccon. 2023. Exploring the Representation Power of SPLADE Models. In The Proceedings of the 2023 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2023).
• Guido Zuccon and Harry Scells and Shengyao Zhuang. 2023. Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models. In The Proceedings of the 2023 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2023).
• Bing Liu and Tiancheng Lan and Wen Hua and Guido Zuccon. 2023. Dependency-aware Self-training for Entity Alignment. In WSDM 2023.
• Shengyao Zhuang and Houxing Ren and Linjun Shou and Jian Pei and Ming Gong and Guido Zuccon and Daxin Jiang. 2023. Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. In The First Workshop on Generative Information Retrieval.
• Hang Li and Bevan Koopman and Ahmed Mourad and Guido Zuccon. 2023. AgAsk: A Conversational Search Agent for Answering Agricultural Questions. In The 16th ACM International Conference on Web Search And Data Mining.
• Shuyi Wang and Guido Zuccon. 2022. Is Non-IID Data a Threat in Federated Online Learning to Rank?. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22).
• Shuai Wang and Harry Scells and Justin Clark and Guido Zuccon and Bevan Koopman. 2022. From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022).
• Shuai Wang and Harry Scells and Ahmed Mourad and Guido Zuccon. 2022. SDR for Systematic Reviews: A Reproducibility Study. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022).
• Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2022. Neural Rankers for Effective Screening Prioritization in Medical Systematic Review Literature Search. In Australasian Document Computing Symposium (ADCS 2022).
• Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2022. Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search. In Intelligent Systems with Applications (ISWA) Technology-Assisted Review Systems Special Issue.
• Harry Scells and Connor Forbes and Justin Clark and Bevan Koopman and Guido Zuccon. 2022. The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis. In The 8th ACM SIGIR International Conference on the Theory of Information Retrieval.
• Harry Scells and Shengyao Zhuang and Guido Zuccon. 2022. Reduce, Reuse, Recycle: Green Information Retrieval Research. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
• Daniel Locke and Guido Zuccon. 2022. Case law retrieval: accomplishments, problems, methods and evaluations in the past 30 years. In arXiv:submit/4163136 (2022).
• Hang Li and Ahmed Mourad and Shengyao Zhuang and Bevan Koopman and Guido Zuccon. 2022. Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. In Accepted by the ACM Transactions on Information Systems (TOIS).
• Hang Li and Ahmed Mourad and Bevan Koopman and Guido Zuccon. 2022. How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR' 22).
• Hang Li and Shuai Wang and Shengyao Zhuang and Ahmed Mourad and xueguang-ma and jimmy-lin and Guido Zuccon. 2022. To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR' 22).
• Hang Li and Shengyao Zhuang and Ahmed Mourad and Xueguang Ma and Jimmy Lin and Guido Zuccon. 2022. Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022).
• Hang Li and Shengyao Zhuang and Xueguang Ma and Jimmy Lin and Guido Zuccon. 2022. Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. In Proceedings of the 26th Australasian Document Computing Symposium (ADCS 2022).
• Ismail Sabei and Ahmed Mourad and Guido Zuccon. 2022. SCC - A Test Collection for Search in Chat Conversations. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management October 2022 (CIKM 22).
• Bing Liu and Harry Scells and Wen Hua and Guido Zuccon and Genghong Zhao and Xia Zhang. 2022. Guiding Neural Entity Alignment with Compatibility. In EMNLP 2022.
• Bing Liu and Wen Hua and Guido Zuccon and Genghong Zhao and Xia Zhang. 2022. High-quality Task Division for Large-scale Entity Alignment. In CIKM 2022.
• Shengyao Zhuang and Xinyu Mao and Guido Zuccon. 2022. Robustness of Neural Rankers to Typos: A Comparative Study. In The 26th Australasian Document Computing Symposium (ADCS '22).
• Shengyao Zhuang and Guido Zuccon. 2022. Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training. In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22).
• Shengyao Zhuang and Zhihao Qiao and Guido Zuccon. 2022. Reinforcement Online Learning to Rank with Unbiased Reward Shaping. In Arxiv preprint.
• Shengyao Zhuang and Hang Li and Guido Zuccon. 2022. Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22).
• Shengyao Zhuang and Guido Zuccon. 2022. CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22).
• Shuyi Wang and Shengyao Zhuang and Guido Zuccon. 2021. Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021).
• Shuyi Wang and Bing Liu and Shengyao Zhuang and Guido Zuccon. 2021. Effective and Privacy-preserving Federated Online Learning to Rank. In The Proceedings of the 2021 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2021).
• Shuai Wang and Shengyao Zhuang and Guido Zuccon. 2021. BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. In The Proceedings of the 2021 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2021).
• Shuai Wang and Hang Li and Harry Scells and Daniel Locke and Guido Zuccon. 2021. MeSH Term Suggestion for Systematic Review Literature Search. In Australasian Document Computing Symposium (ADCS 2021).
• Harry Scells and Jimmy and Guido Zuccon. 2021. Big Brother: A Drop-In Website Interaction Logging Service. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
• Kunpeng Qin and Harry Scells and Guido Zuccon. 2021. PECAN: A Platform for Searching Chat Conversations. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
• Sebastian Cross and Ahmed Mourad and Bevan Koopman and Guido Zuccon. 2021. Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice. In Proceedings of The Web Conference 2021.
• Bing Liu and Guido Zuccon and Wen Hua and Weitong Chen. 2021. Diagnosis Ranking with Knowledge Graph Convolutional Networks. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021).
• Bing Liu and Harry Scells and Wen Hua and Genghong Zhao and Guido Zuccon. 2021. ActiveEA: Active Learning for Neural Entity Alignment. In The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021).
• Shengyao Zhuang and Hang Li and Guido Zuccon. 2021. Deep Query Likelihood Model for Information Retrieval. In 43rd European Conference on IR Research.
• Shengyao Zhuang and Hang Li and Shuai Wang and Guido Zuccon. 2021. IELAB at TREC Deep Learning Track 2021. In TREC 2021 Deep Learning Track.
• Shengyao Zhuang and Guido Zuccon. 2021. How do Online Learning to Rank Methods Adapt to Changes of Intent?. In The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21).
• Shengyao Zhuang and Guido Zuccon. 2021. Dealing with Typos for BERT-based Passage Retrieval and Ranking. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21).
• Shengyao Zhuang and Guido Zuccon. 2021. Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion. In Arxiv preprint.
• Shengyao Zhuang and Guido Zuccon. 2021. TILDE: Term Independent Likelihood moDEl for Passage Re-ranking. In The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21).
• Anton van der Vegt and Guido Zuccon and Bevan Koopman. 2020. How searching under time pressure impacts clinical decision making. In Journal of the Medical Library Association.
• Anton van der Vegt and Guido Zuccon and Bevan Koopman. 2020. Do better search engines really equate to better clinical decisions? If not, why not?. In Journal of the Association for Information Science and Technology.
• Harry Scells and Guido Zuccon and Mohamed A. Sharaf and Bevan Koopman. 2020. Sampling Query Variations for Learning to Rank to Improve Automatic Boolean Query Generation in Systematic Reviews. In Proceedings of The Web Conference 2020.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2020. A Computational Approach for Objectively Derived Systematic Review Search Strategies. In 42nd European Conference on IR Research.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2020. Automatic Boolean Query Formulation for Systematic Review Literature Search. In Proceedings of The Web Conference 2020.
• Harry Scells and Guido Zuccon and Bevan Koopman. 2020. A Comparison of Automatic Boolean Query Formulation for Systematic Reviews. In Information Retrieval Journal.
• Harry Scells and Guido Zuccon and Bevan Koopman. 2020. You Can Teach an Old Dog New Tricks - Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews. In 42nd European Conference on IR Research.
• Suresh Pokaharel and Guido Zuccon and Xue Li and Chandra Prasetyo Utomo and Yu Li. 2020. Temporal Tree Representation for Similarity Computation between Medical Patients. In Artificial Intelligence in Medicine.
• Suresh Pokaharel and Guido Zuccon and Yu Li. 2020. Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing. In International Conference on Advanced Data Mining and Applications.
• Suresh Pokaharel and Zhenkun Shi and Guido Zuccon and Yu Li. 2020. Discriminative Features Generation for Mortality Prediction in ICU. In International Conference on Advanced Data Mining and Applications.
• Rischan Mafrur and Mohamed A. Sharaf and Guido Zuccon. 2020. Quality Matters: Understanding the Impact of Incomplete Data on Visualization Recommendation. In The 31st International Conference on Database and Expert Systems Applications - DEXA.
• Hang Li and Harry Scells and Guido Zuccon. 2020. Systematic Review Automation Tools for End-to-End Query Formulation. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20).
• Bevan Koopman and Guido Zuccon and Scott Chapman and Yash Dang and David Lawrence. 2020. How a Conversational Agent Might Help Farmers in the Field. In Third International Workshop on Conversational Approaches to Information Retrieval (CAIR'20) Full-day Workshop at CHIIR 2020.
• Sebastian Cross and Hang Li and Shengyao Zhuang and Ahmed Mourad and Bevan Koopman and Guido Zuccon. 2020. UQ IElab at TREC 2020 CAsT Track. In TREC 2020 Decision Track.
• Shengyao Zhuang and Guido Zuccon. 2020. Counterfactual Online Learning to Rank. In 42nd European Conference on IR Research.
• Anton van der Vegt and Guido Zuccon and Bevan Koopman and Anthony Deacon. 2019. Impact of a Search Engine on Clinical Decisions Under Time and System Effectiveness Constraints: Research Protocol. In JMIR research protocols.
• Anton van der Vegt and Guido Zuccon and Bevan Koopman. 2019. Learning Inter-Sentence, Disorder-Centric, Biomedical Relationships from Medical Literature. In AMIA'19 Proceedings.
• Sitthichoke Subpaiboonkit and Xue Li and Xin Zhao and Harry Scells and Guido Zuccon. 2019. Causality Discovery with Domain Knowledge for Drug-Drug Interactions Discovery. In The 15th International Conference on Advanced Data Mining and Applications.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2019. Automatic Search Strategy Reformulation Interface for Systematic Reviews. In Proceedings of the Cochrane Colloquium 2019.
• Harry Scells and Guido Zuccon and Bevan Koopman. 2019. Automatic Boolean Query Refinement for Systematic Review Literature Search. In Proceedings of The Web Conference 2019.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2019. Visualising Systematic Review Search Strategies to Assist Information Specialists. In Proceedings of the Cochrane Colloquium 2019.
• Harry Scells and Guido Zuccon. 2019. ielab at the Open-Source IR Replicability Challenge 2019. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '19).
• Joao Palotti and Harry Scells and Guido Zuccon. 2019. TrecTools: an open-source Python library for Information Retrieval practitioners involved in TREC-like campaigns. In Proceedings of the 42nd annual international ACM SIGIR conference on Research and development in Information Retrieval.
• Aldo Lipani and David E. Losada and Guido Zuccon and Mihai Lupu. 2019. Fixed-Cost Pooling Strategies. In Transactions on Knowledge and Data Engineering.
• Jimmy and Guido Zuccon. 2019. UQ IElab at TREC 2019 Decision Track. In TREC 2019 Decision Track.
• Jimmy and Guido Zuccon and Bevan Koopman and Gianluca Demartini. 2019. Health Card Retrieval for Consumer Health Search. In Proceedings of the 28th International ACM CIKM Conference on Information and Knowledge Management (CIKM '19).
• Jimmy and Guido Zuccon and Bevan Koopman and Gianluca Demartini. 2019. Health Cards for Consumer Health Search. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '19).
• Jimmy and Guido Zuccon and Gianluca Demartini and Bevan Koopman. 2019. Health Cards to Assist Decision Making in Consumer Health Search. In Proceedings of AMIA 2019 Annual Symposium.
• Leif Azzopardi and Alistair Moffat and Paul Thomas and Guido Zuccon. 2019. Economics models of interaction: a tutorial on modeling interaction using economics. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’19).
• Leif Azzopardi and Guido Zuccon. 2019. Economics models of interaction: a tutorial on modeling interaction using economics. In Course at CHI 2019.
• Anton van der Vegt and Guido Zuccon and Bevan Koopman and Peter Bruza. 2018. A task completion framework to support single-interaction IR research. In Journal of Documentation.
• Hanna Suominen and Liadh Kelly and Lorraine Goeuriot and Neveol Aurelie and Lionel Ramadier and Aude Roverse and Evangelos Kanoulas and Rene Spijker and Leif Azzopardi and Dan Li and Jimmy and Joao Palotti and Guido Zuccon. 2018. Overview of the CLEF eHealth Evaluation Lab 2018. In Experimental IR Meets Multilinguality, Multimodality, and Interaction.
• Harry Scells and Guido Zuccon. 2018. searchrefiner: A Query Visualisation and Understanding Tool for Systematic Reviews. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management.
• Harry Scells and Leif Azzopardi and Guido Zuccon and Bevan Koopman. 2018. Query Variation Performance Prediction for Systematic Reviews. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Harry Scells and Daniel Locke and Guido Zuccon. 2018. An Information Retrieval Experiment Framework for Domain Specific Applications. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Harry Scells and Guido Zuccon. 2018. Generating Better Queries for Systematic Reviews. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Joao Palotti and Guido Zuccon and Allan Hanbury. 2018. MM: A new Framework for Multidimensional Evaluation of Search Engines. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management.
• Daniel Locke and Guido Zuccon. 2018. A Test Collection for Evaluating Legal Case Law Search. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Jimmy and Guido Zuccon and Gianluca Demartini. 2018. On the Volatility of Commercial Search Engines and Its Impact on Information Retrieval Research. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Jimmy and Guido Zuccon and Bevan Koopman. 2018. Payoffs and pitfalls in using knowledge-bases for consumer health search. In Information Retrieval Journal.
• Jimmy and Guido Zuccon and Joao Palotti and Lorraine Goeuriot and Liadh Kelly. 2018. Overview of the CLEF 2018 Consumer Health Search Task. In CLEF.
• Jimmy and Guido Zuccon and Bevan Koopman. 2018. QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search. In CLEF.
• Jimmy and Guido Zuccon and Bevan Koopman. 2018. Choices in knowledge-base retrieval for consumer health search. In European Conference on Information Retrieval.
• Lorraine Goeuriot and Gareth JF Jones and Liadh Kelly and Johannes Leveling" and Mihai Lupu" and joao-palotto and Guido Zuccon. 2018. An analysis of evaluation campaigns in ad-hoc medical information retrieval: CLEF eHealth 2013 and 2014. In Information Retrieval Journal.
• Leif Azzopardi and Guido Zuccon. 2018. Economics models of interaction: a tutorial on modeling interaction using economics. In Oxford University Press.
• Harry Scells and Guido Zuccon and Anthony Deacon and Bevan Koopman. 2017. QUT ielab at CLEF eHealth 2017 technology assisted reviews track: Initial experiments with learning to rank. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation forum.
• Harry Scells and Guido Zuccon and Bevan Koopman and Anthony Deacon and Leif Azzopardi and Shlomo Geva. 2017. Integrating the framing of clinical questions via PICO into the retrieval of medical literature for systematic reviews. In Proceedings of the 26th ACM CIKM conference on Information and Knowledge Management.
• Harry Scells and Guido Zuccon and Bevan Koopman and Anthony Deacon and Shlomo Geva and Leif Azzopardi. 2017. A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews. In Proceedings of the 40th annual international ACM SIGIR conference on Research and development in Information Retrieval.
• Daniel Locke and Guido Zuccon and Harry Scells. 2017. Automatic Query Generation from Legal Texts for Case Law Retrieval. In Asia Information Retrieval Symposium 2017.
• Bevan Koopman and Liam Cripwell and Guido Zuccon. 2017. Generating Clinical Queries from Patient Narratives. In Proceedings of the 40th annual international ACM SIGIR conference on Research and development in Information Retrieval.
• Jimmy and Guido Zuccon and Bevan Koopman. 2017. QUT ielab at CLEF 2017 e-Health IR Task: Knowledge Base Retrieval for Consumer Health Search. In CLEF.
• Guido Zuccon. 2016. Understandability Biased Evaluation for Information Retrieval. In European Conference on Information Retrieval.
• Joao Palotti and Lorraine Goeuriot and Guido Zuccon and Allan Hanbury. 2016. Ranking Health Web Pages with Relevance and Understandability. In Proceedings of the 39th annual international ACM SIGIR conference on Research and development in Information Retrieval.
• Bevan Koopman and Guido Zuccon. 2016. A Test Collection for Matching Patients to Clinical Trials. In The 39th International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Jimmy and Guido Zuccon and Bevan Koopman. 2016. Boosting titles does not generally improve retrieval effectiveness. In Proceedings of the 21st Australasian Document Computing Symposium.
• Guido Zuccon and Bevan Koopman and Peter Bruza and Leif Azzopardi. 2015. Integrating and evaluating neural word embeddings in information retrieval. In Proceedings of the Twentieth Australasian Document Computing Symposium.
• Guido Zuccon and Bevan Koopman and Joao Palotti. 2015. Diagnose This If You Can. In European Conference on Information Retrieval.
• Guido Zuccon and Bevan Koopman and Anthony Nguyen and Deanne Vickers and Luke Butt. 2012. Exploiting medical hierarchies for concept-based information retrieval. In Proceedings of the Seventeenth Australasian Document Computing Symposium.
• Guido Zuccon and Leif Azzopardi and Keith-van-Rijsbergen. 2010. The Quantum Probability Ranking Principle for Information Retrieval. In Lecture Notes in Computer Science.