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ICTIR 2020: ACM SIGIR International Conference on the Theory of Information Retrieval

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ICTIR
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截稿日期:
2020-05-11
通知日期:
2020-06-30
会议日期:
2020-09-14
会议地点:
Stavanger, Norway
届数:
10
浏览: 21146   关注: 8   参加: 1

会伴指数 (CP-I)

49.4 / 100
全站第 1,721 名 / 共 5,682 个会议 · 前 31%

数据挖掘与数据库 第 93 / 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%)
65
社区关注 (10%)
29
资料公开度 (15%)
40

用到的输入: 有据可查的届次：10 · 在会伴关注它的研究者：8 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
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 2026-09-15

征稿

ICTIR 2020 (ACM SIGIR International Conference on the Theory of Information Retrieval) is an academic conference held in Stavanger, Norway on 2020-09-14. The paper submission deadline is 2020-05-11. Acceptance notifications are sent on 2020-06-30.

The ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) provides a forum for the presentation and discussion of research related to the foundational aspects of Information Retrieval (IR), including, for example, human search processes; search and recommendation; learning and optimization for IR; language and representations for IR; sensory information related to IR; artificial intelligence, ethics and responsibility in information retrieval. The conference explicitly welcomes papers on core IR and any paper on connections between IR and its neighboring disciplines. We welcome experimental and industrial papers that validate approaches from the lens of practical applicability. Such papers should, apart from validating the practical applicability of an existing approach, provide a clear message to the community as to which aspects need further (theoretical) investigation, based on the experimental findings. Contributions could be: Theoretical papers that model various phenomena related to IR, and/or between concepts, models and theories; Conceptual papers that explore key concepts, new paradigms and new ways of thinking about problems in IR; Behavioral papers that explore the behavior of IR algorithms (why and how an algorithm works); Papers presenting preliminary work on exciting new ideas or approaches; Papers describing failed (but plausible!) approaches along with athorough analysis of what happened; Papers studying theory in experimental or industrial settings; or, Other papers that address foundational aspects of IR. Topics The topic areas covered by ICTIR include any topic of relevance to core IR and connections between IR and its neighboring disciplines such as the following. Evaluation expectations for ICTIR submissions are less demanding than in other IR conferences, but some degree of evaluation is still important. IR theory and practice New retrieval problems Retrieval algorithm behavior analysis Recommendation algorithm behavior analysis Understanding IR models Quantum IR or other non-conventional retrieval models and ranking New evaluation measures, mathematical analysis of measures New evaluation paradigms User aspects of IR Interactive and dynamic search Information seeking Modelling and simulation of information interaction Contextual and personalized search Search interfaces Understanding context information Understanding retrieval results User modeling for ranking and evaluation IR system architectures and scalability Understanding IR system architecture Efficient content representation Compression for IR String processing for IR IR system scalability Content representation and processing Natural language processing for IR Multimodal IR Multilingual IR Linguistic analysis Text representation Topic models Machine learning for IR Deep learning Kernel methods Markov decision processes Online learning Optimization Hyper-parameter and model selection Reinforcement learning Applications of IR Information extraction Information fusion Legal IR Patent search Search applied to the Internet of Things Semantic search Sentiment analysis Social good and collaborative search Voice and image search Structured, semi-structured data and databases Task-based and exploratory search Web, digital libraries and social media search
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
CTheory of Computing Systems0.4Springer1432-4350
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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