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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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투고 마감일:
2020-05-11
통보일:
2020-06-30
개최일:
2020-09-14
개최지:
Stavanger, Norway
개최 횟수:
10
조회: 21143   팔로우: 8   참가: 1

회반 지수 (CP-I)

49.4 / 100
전체 5,682개 중 1,721위 · 상위 31%

데이터 마이닝·데이터베이스 분야 337개 중 93위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
65
커뮤니티 관심도 (10%)
29
공개 자료 충실도 (15%)
40

사용한 입력: 확인되는 개최 횟수: 10 · 회반에서 팔로우 중인 연구자: 8명 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-15

논문 모집

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
최종 수정: Dou Sun ()

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관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
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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