Conference Information
ECIR 2025: European Conference on Information Retrieval
https://ecir2025.eu/
Submission Date:
2024-10-02
Notification Date:
2024-12-16
Conference Date:
2025-04-06
Location:
Lucca, Italy
Years:
47
CCF: c   CORE: a   QUALIS: a2   Viewed: 55422   Tracked: 132   Attend: 28

Call For Papers
The European Conference on Information Retrieval (ECIR) is the prime European forum for the presentation of original research in the field of Information Retrieval. 

Topics of Interest

ECIR 2025 invites the submission of high-quality and original papers in the broad field of Information Retrieval – this primarily includes textual or textual with multimodal information. Relevant topics include, but are not limited to:

    Search and ranking, including retrieval models and ranking, query and content analysis, web search, and theoretical aspects of Information Retrieval;
    User aspects in IR, including information interaction, contextualisation, personalisation, simulation, characterisation, and behaviours;
    System aspects, including retrieval and recommendation architectures, efficiency and scalability;
    Conversational search and recommender systems, focusing on natural language understanding and generation, dialogue management, multimodal interaction, and user engagement in search processes;
    Explainability methods, addressing the transparency, interpretability, and accountability of AI-driven systems, particularly for information retrieval, recommendation, and personalisation;
    Machine Learning and Large Language Models for information retrieval and recommendation;
    Applications, such as web search, recommender systems, web and social media apps, professional and domain-specific search, novel interfaces to search tools, intelligent search, and conversational agents;
    Evaluation research, including new metrics and novel methods for the measurement and evaluation of retrieval and/or recommendation systems, users, and/or applications;
    New social and technical challenges in IR, such as bias, ethics, fake news, and hate speech, IR-focused trustworthy & explainable AI methodologies and techniques.
Last updated by Dou Sun in 2024-09-01
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