The European Conference on Information Retrieval is the prime European forum for the presentation of original research in the field of Information Retrieval.
ECIR 2020 is seeking high-quality and original submissions on theory, experimentation, and practice regarding the retrieval, representation, management, and usage of textual, visual and multi-modal information.
Topics of Interest
ECIR strongly supports user, system, application, and evaluation focused papers:
- User aspects including information interaction, contextualisation, personalisation, simulation, characterisation, and information behaviours.
- System aspects including retrieval and recommendation algorithms, machine learning, deep learning, content representation, natural language processing, system architectures, and efficiency methods.
- Applications such as search and recommender systems, web and social media apps, domain specific search (professional, bio, chem, etc.), novel interfaces, intelligent search agents/bots, and related innovative search tools.
- Evaluation research including new measures and novel methods for the measurement and evaluation of users, systems and/or applications.
In addition to these traditional topic areas, ECIR 2020 will be encouraging the submissions of papers on a specialised theme (eHealth, DeepLearning, education IR etc.)
ECIR also strongly encourages the submission of papers that repeat and analyze prior work. In particular we solicit replicability papers, which repeat prior experiments to show how, why, and when the methods work (or not), and reproducibility papers, which repeat prior experiments in new contexts (e.g., different time, location, access device, task) to further generalize and validate (or not) previous work.
Submissions are welcome in any of the areas related to aspects of Information Retrieval and should be up to 6 pages in length plus additional pages for references.
In both replicability and reproducibility papers, we expect authors to provide all materials required for repeating the tests performed, including code, data, and clear instructions on how to run the experiments.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
All submissions must be written in English. Authors should consult ECIR’s paper guidelines and Fuhr’s guide to avoid common IR evaluation mistakes, for the preparation of their papers. All papers should be submitted electronically through the conference submission system.
Full papers (e.g. main paper track) are up to 12 pages in length plus additional pages for references, short papers track and reproducibility track are up to 6 pages in length plus additional pages for references, and demonstration papers are to be 4 pages in length plus additional pages for references.
Full paper and short paper submissions will be refereed through double-blind peer review. Demonstration and Reproducibility papers will undergo single-blind review. Accepted full papers, short papers, reproducibility papers, and demo papers will be published in the conference proceedings published in the Springer Lecture Notes in Computer Science series. The proceedings will be distributed to all delegates at the conference. Accepted full papers, reproducibility papers, short papers, and demos papers will have to be presented at the conference–and at least one author will be required to register.
15 October 20 October 2019, 11:59 pm (AoE)
30 November 6 December 2019
Camera-ready copy: 27 December 2019
Workshops and tutorials: 14 April 2020
Main Conference: 15-17 April 2020
Reproducibility Track Chairs (reproducibility_at_ecir2020.org)
Universidade Federal de Minas Gerais, Brazil
Universidade de Lisboa, Portugal