Información de la conferencia

FIRE 2023: Forum for Information Retrieval Evaluation

Por favor Iniciar sesión para ver el sitio web de la conferencia
Cuenta gratuita: consulta los sitios oficiales, sigue las fechas límite y recibe recordatorios por correo.
Registrarse Iniciar sesión
Insertar insignia de cuenta atrás
FIRE
Obtener estos datos por API
Las búsquedas y las listas de rankings no necesitan credenciales; el detalle completo de esta página requiere una clave de API gratuita. Consulta la guía para desarrolladores.
Día de Entrega:
2023-09-14
Fecha de Notificación:
2023-10-30
Fecha de conferencia:
2023-12-15
Ubicación:
Panjim, India
Ediciones:
15
Vistas: 7484   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

47,2 / 100
Puesto n.º 2.216 de 5.682 congresos · 39% superior

N.º 126 de 337 en Minería de datos y bases de datos

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
75
Atención de la comunidad (10%)
10
Integridad del registro público (15%)
25

Datos utilizados: Ediciones documentadas: 15 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
Los organizadores pueden añadirlo desde esta página tras reclamar el congreso; las puntuaciones se recalculan cada noche. Cómo subir esta puntuación

Confianza 45 %: 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 2026-09-17

Solicitud de Artículos

FIRE 2023 (Forum for Information Retrieval Evaluation) is an academic conference held in Panjim, India on 2023-12-15. The paper submission deadline is 2023-09-14. Acceptance notifications are sent on 2023-10-30.

The 15th meeting of the Forum for Information Retrieval Evaluation 2023 will be held at Goa University, Panjim, India. It will be an in-person conference. We are seeking submissions of high-quality and original papers. Submissions will be reviewed by experts on the basis of the originality of the work, the validity of the results, chosen methodology, writing quality, and the overall contribution to the field of IR/NLP. Authors are also encouraged to describe work in progress and late-breaking research results. Topics of interest include, but are not limited to Search and Ranking: Research on core algorithmic topics in IR: Queries and query analysis (e.g., Query understanding, query reformulation, query representation, etc.) Retrieval models and ranking (e.g., Cross lingual IR with a particular focus on Indian languages, ranking algorithms, language models, retrieval algorithms, learning to rank, etc.) Efficiency and scalability (e.g., distributed search, search engine architecture, indexing, crawling, etc.) Domain Specific: Research on domain specific IR: Applications in Social Media (e.g., Hate speech recognition, social network in search, etc.) Applications in Finance (e.g., Stock market prediction, other applications in finance) Applications in Legal (e.g., Patent discovery, verdict summarization, other applications in law) Applications in Health (e.g., Biomedical IR, medicine, genomics, other applications in health) Other applications and domains Recommendation Systems: Research on Recommendation systems, content representation, and content analysis: Recommendation algorithms (e.g., Content based filtering, collaborative filtering, etc.) Document representation and analysis (e.g., Summarization, text representation, sentiment analysis, etc.) Knowledge acquisition (e.g., Information extraction, event extraction, etc.) Multimodal and Crossmodal IR/Recsys model Visual Question Answering Image search/recommendation Multimodal document summarization Bridging the gap between AI and IR: Supervised/Weakly supervised deep neural networks Word Embedding Methodologies and its applications Question answering Conversational systems Machine Translation Evaluation: Research on evaluation of IR systems: User centric evaluation (e.g., User experience, user engagement, etc.) System centric evaluation (e.g., Evaluation metrics) Explainability, Fairness, and Trust of IR/Recsys models Explainable models for ranking, text classification/clustering, summarization, etc. User studies for explainable AI (XAI) applied to IR/Recsys Issues related to fairness and trustworthiness of IR/Recsys models
Última actualización por Dou Sun el

Conferencias Relacionadas

CCFICORECP-IAbreviaciónNombre CompletoEntregaFecha de conferencia
AA*92,4SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97,7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*91,2CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-06-03
BA*89,7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94,1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*89,3STOCACM Symposium on Theory of Computing2025-11-042026-06-22
C87,3ICCInternational Conference on Communications2026-10-022027-05-30
CB62,6IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91,2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79,4PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13

Revistas Relacionadas

CCFNombre CompletoFactor de ImpactoEditorISSN
International Journal of Multimedia Information Retrieval2.9Springer2192-6611
BPerformance Evaluation1.0Elsevier0166-5316
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

Comentarios 0

Aún no hay comentarios.

Por favor Iniciar sesión para publicar un comentario