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ECIR 2027: European Conference on Information Retrieval

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截稿日期:
2026-09-21 还有 4 天
通知日期:
2026-12-07
会议日期:
2027-03-21
会议地点:
Southampton, UK
届数:
CCF: C   ICORE: A   QUALIS: A2   浏览: 135477   关注: 134   参加: 28

会伴指数 (CP-I)

80.4 / 100
全站第 193 名 / 共 5,682 个会议 · 前 4%

数据挖掘与数据库 第 11 / 337

学术认可 (35%)
92
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
100
社区关注 (10%)
77
资料公开度 (15%)
70

用到的输入: 收录等级：CCF C, ICORE A, QUALIS A2 · 有据可查的届次：49 · 在会伴关注它的研究者：134 人 · 过去 24 个月打开过本页的研究者：50 人

公开资料里还缺: 历年录用率 (+4.5)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-17

征稿

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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International Journal of Multimedia Information Retrieval2.9Springer2192-6611
CPattern Recognition Letters3.9Elsevier0167-8655

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