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| European Conference on Information Retrieval | |
|---|---|
| Name | European Conference on Information Retrieval |
| Abbreviation | ECIR |
| Established | 1979 |
| Discipline | Information Retrieval |
| Frequency | annual |
| Venues | various European cities |
| Publisher | Springer Nature |
European Conference on Information Retrieval The European Conference on Information Retrieval is an annual scholarly meeting drawing researchers from across United Kingdom, Germany, France, Italy, Spain, Netherlands, Sweden, Denmark, Norway, Finland, Switzerland, Austria, Belgium, Portugal, Poland, Czech Republic, Hungary, Greece, Romania, Bulgaria, Turkey, Russia, Ireland, Scotland, Wales, Lithuania, Latvia, Estonia, Slovakia, Slovenia, Croatia, Serbia, Bosnia and Herzegovina, Macedonia, Albania, Iceland, Luxembourg, Andorra, Monaco, San Marino and international partners such as United States, Canada, Australia, India, China, Japan, South Korea, Brazil, Argentina, Mexico, South Africa, Israel, United Arab Emirates, Saudi Arabia, Singapore, Malaysia, New Zealand, Chile, Colombia.
The conference traces roots to early European gatherings in United Kingdom and Germany influenced by work from Trec, Cranfield, SMART, Salton, Morris(Information Retrieval) and institutions like University of Cambridge, University of Edinburgh, Imperial College London, University of Glasgow, University of Sheffield, University of Manchester, University of Oxford, University College London, University of Dublin, University of York, University of Pisa, University of Padua, University of Bologna, Politecnico di Milano, École Normale Supérieure, Université Paris-Sud, Sorbonne University, École Polytechnique, Technische Universität München, Karlsruhe Institute of Technology, Max Planck Society, Fraunhofer Society, CERN and European Commission. Early organizers included researchers affiliated with Birkbeck, University of London, University of Cambridge Computer Laboratory, Max Planck Institute for Informatics, University of Amsterdam, Leiden University, Delft University of Technology, Ghent University, KU Leuven and Eindhoven University of Technology.
ECIR addresses topics spanning retrieval paradigms and techniques from classical probabilistic models to modern neural architectures, engaging communities from Google Research, Microsoft Research, Facebook AI Research, DeepMind, OpenAI, IBM Research, Amazon Web Services, Alibaba Group, Baidu Research, Tencent AI Lab, Apple Inc. to academic labs such as Stanford University, Massachusetts Institute of Technology, Carnegie Mellon University, Princeton University, Yale University, Columbia University, University of California, Berkeley, University of Southern California, University of Washington, University of Illinois Urbana-Champaign, Peking University, Tsinghua University, National University of Singapore, University of Tokyo, Seoul National University, ETH Zurich, École Polytechnique Fédérale de Lausanne, Technical University of Denmark, KTH Royal Institute of Technology and University of Copenhagen. Themes include evaluation methodologies connected to NIST, TREC, CLEF, NLP, Computer Vision, Speech Processing, Recommender Systems, Human–Computer Interaction and legal/ethical questions referenced in GDPR, European Court of Human Rights, Council of Europe debates.
Governance typically includes program chairs and organizing committees drawn from institutions such as University of Amsterdam, University of Glasgow, University of Cambridge, University of Exeter, Queen Mary University of London, University of Strathclyde, University of Edinburgh, University of Sheffield, TU Berlin, RWTH Aachen University, Technical University of Munich, ETH Zurich, École Polytechnique, INRIA, CNRS, Fraunhofer Society, Max Planck Society, European Association for Information Retrieval Studies, British Computer Society, Association for Computing Machinery, IEEE, ACM SIGIR, SIGCHI and advisory boards featuring editors from journals like ACM Transactions on Information Systems, Information Retrieval Journal, Journal of the Association for Information Science and Technology, IEEE Transactions on Knowledge and Data Engineering.
Typical formats include keynote addresses by prominent figures from Google Research, Microsoft Research, DeepMind, OpenAI, Facebook AI Research, IBM Research, Amazon, invited talks by scholars from Stanford University, MIT, CMU, Oxford, Cambridge', tutorial sessions often led by faculty from ETH Zurich, EPFL, KTH Royal Institute of Technology, workshops co-located with themed tracks influenced by TREC and CLEF challenges, poster sessions featuring work from PhD students' associations, demo tracks used by companies like Elastic NV, Lucene, Solr, Elasticsearch BV, panel discussions with representatives from European Commission, Horizon Europe, H2020, industrial roundtables with Siemens, Bosch, Spotify, BBC, Wolters Kluwer, Elsevier, and networking events involving societies such as ACM, IEEE Computer Society, British Computer Society.
Proceedings are commonly published in Springer’s Lecture Notes in Computer Science series, alongside special issues in journals including ACM Transactions on Information Systems, Information Retrieval Journal, IEEE Transactions on Knowledge and Data Engineering, Journal of Information Science, Pattern Recognition Letters, Transactions of the Association for Computational Linguistics, with datasets and code deposited in repositories such as GitHub, Zenodo, Open Science Framework and evaluations coordinated with NIST, TREC, CLEF task organizers. Committees enforce peer review policies similar to those at SIGIR, WWW Conference, NeurIPS, ICML, ACL Conference.
Over decades the conference has hosted influential work building on foundations from Salton, Manning, Jones, Croft, Voorhees, Harman, Robertson, Sparck Jones, Baeza-Yates, Grossman, Zhai, Hajel, and contributions that intersect with models and systems developed at Google, Yahoo! Research, Microsoft Research, IBM Research, Bell Labs, AT&T Labs Research, demonstrating advances in passage retrieval used by Bing, neural ranking models related to BERT, transformer architectures influenced by Vaswani, click models referencing Joachims, evaluation metrics introduced alongside TREC and CLEF experiments, and reproducible benchmarks shared via IR datasets maintained by University of Glasgow, University of Sheffield and Cranfield-linked collections.
Attendees range from students affiliated with PhD Schools and departments at University of Cambridge, Imperial College London, University College London, University of Edinburgh, Oxford, ETH Zurich, EPFL, TU Delft, researchers from corporate labs such as Google, Microsoft, Facebook, Amazon, IBM, DeepMind, OpenAI, to policy stakeholders from European Commission, OECD, UNESCO and librarians from institutions like British Library, Bibliothèque nationale de France, German National Library, fostering interdisciplinary exchange among practitioners of Information Retrieval, Natural Language Processing, Machine Learning, Data Mining, Human–Computer Interaction, Digital Libraries.
The conference recognizes contributions via best paper awards, best student paper awards, doctoral consortium accolades, and lifetime achievement recognitions often celebrating careers connected to SIGIR Award, ACM Fellows, IEEE Fellows, Royal Society Fellows, laureates of prizes administered by European Research Council, Marie Skłodowska-Curie Actions, and honors from national academies such as the Royal Society, Deutsche Forschungsgemeinschaft, French Academy of Sciences.