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FIRE 2023: Forum for Information Retrieval Evaluation

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FIRE
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截稿日期:
2023-09-14
通知日期:
2023-10-30
会议日期:
2023-12-15
会议地点:
Panjim, India
届数:
15
浏览: 7486   关注: 0   参加: 0

会伴指数 (CP-I)

47.2 / 100
全站第 2,216 名 / 共 5,682 个会议 · 前 39%

数据挖掘与数据库 第 126 / 337

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
75
社区关注 (10%)
10
资料公开度 (15%)
25

用到的输入: 有据可查的届次：15 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
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 45% —— 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

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
由 Dou Sun 最后更新于

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CCF全称影响因子出版商ISSN
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

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