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ECIR 2027: European Conference on Information Retrieval

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Día de Entrega:
2026-09-21 Faltan 5 días
Fecha de Notificación:
2026-12-07
Fecha de conferencia:
2027-03-21
Ubicación:
Southampton, UK
Ediciones:
CCF: C   ICORE: A   QUALIS: A2   Vistas: 135387   Seguidores: 134   Asistentes: 28

Índice Conference Partner (CP-I)

80,4 / 100
Puesto n.º 193 de 5.682 congresos · 4% superior

N.º 11 de 337 en Minería de datos y bases de datos

Reconocimiento académico (35%)
92
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
100
Atención de la comunidad (10%)
77
Integridad del registro público (15%)
70

Datos utilizados: Categorías: CCF C, ICORE A, QUALIS A2 · Ediciones documentadas: 49 · Investigadores que lo siguen aquí: 134 · Investigadores que abrieron esta página en los últimos 24 meses: 50

Falta en el registro público: Tasas de aceptación históricas (+4,5)
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Confianza 80 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-16

Solicitud de Artículos

ECIR 2027 (European Conference on Information Retrieval) is a CCF C / ICORE A / QUALIS A2 conference held in Southampton, UK on 2027-03-21. The paper submission deadline is 2026-09-21. Acceptance notifications are sent on 2026-12-07.

Topics of Interest ECIR 2027 invites the submission of high-quality and original papers in the broad field of Information Retrieval. Relevant topics include, but are not limited to: Search and ranking, including retrieval models and ranking, query and content analysis, Retrieval Augmented Generation (RAG), and theoretical aspects of Information Retrieval; Recommender systems, including recommendation algorithms, and advanced recommender systems, covering rich content representations, content analysis, and diverse recommendation techniques such as content-based and collaborative filtering, cross-domain and context-aware methods, and multi-stakeholder approaches; User aspects in IR, including information interaction, human-AI collaboration, 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, IR in agentic workflows; Applications, such as web search, web and social media apps, professional and domain-specific search, novel interfaces to search tools, intelligent search, multimodal search and conversational agents; Evaluation research, including new metrics, benchmarks and novel methods for the measurement and evaluation of retrieval and/or recommendation systems, users, and/or applications; Societally-motivated IR research, including on algorithmic bias and fairness, misinformation, hate speech, interpretability and explainability, privacy-aware IR, trustworthy IR, and ethics; Please note: This year, we are revamping the dedicated IR-for-Good track to be a core conference track that will run alongside the main conference (not on workshop day). We want this special track to be a platform that highlights top societally-motivated IR research at ECIR. We strongly encourage authors to submit societally-motivated papers to this special track. The call for papers for that track will be released in August.
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