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SIGIR-AP 2024: International ACM SIGIR Conference on Information Retrieval in the Asia Pacific

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SIGIR-AP
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투고 마감일:
2024-07-01
통보일:
2024-09-23
개최일:
2024-12-09
개최지:
Tokyo, Japan
개최 횟수:
2
조회: 7874   팔로우: 0   참가: 0

회반 지수 (CP-I)

43.5 / 100
전체 5,682개 중 3,555위 · 상위 63%

데이터 마이닝·데이터베이스 분야 337개 중 208위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
37
커뮤니티 관심도 (10%)
10
공개 자료 충실도 (15%)
50

사용한 입력: 확인되는 개최 횟수: 3 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

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 2026-09-19

논문 모집

SIGIR-AP 2024 (International ACM SIGIR Conference on Information Retrieval in the Asia Pacific) is an academic conference held in Tokyo, Japan on 2024-12-09. The paper submission deadline is 2024-07-01. Acceptance notifications are sent on 2024-09-23.

TOPICS OF INTEREST The topics of SIGIR-AP are the same as those of SIGIR. Relevant areas include but are not limited to: Search and Ranking: Research on core IR concepts, principles, and algorithms: Queries and query analysis Web search Retrieval model Ranking model Theoretical models and foundations of information retrieval and access System, Efficiency, and Scalability: Research on system aspects related to the efficiency and scalability of IR systems: Efficient and scalable indexing Energy efficiency and green computing for IR Search engine architecture Distributed search, edge IR Recommender Systems: Research on recommender systems: Filtering and recommendation Cross-domain recommendation Novel approaches to recommendation Interactive and conversational recommendation Evaluation of recommender systems Other theoretical models and foundations of recommender systems Machine Learning and NLP for IR: Research that bridges ML, NLP, and IR: Core ML applied to IR Large Language Models for IR Retrieval Augmented Machine Learning Question answering Conversational IR: Research on developing intelligent IR systems that support interactive conversations with users: End-to-end conversational IR models and optimization Modularized IR techniques (e.g., query understanding, user modeling, intent prediction, context and discourse management, reranking, and results presentation) Session based search or recommendation, user engagement Conversational question answering Spoken language interfaces Intelligent personal assistants and agents Humans and Interfaces: Research on user-centric aspects of IR, including user interfaces, behavior modeling, privacy, and interactive systems, such as: Mining and modeling users User simulation Interactive search Social search Collaborative search Information security User studies Other theoretical models and foundations of user-centric IR Evaluation: Research on the measurement and evaluation of IR systems, such as: User-centered evaluation System-centered evaluation Beyond Cranfield Beyond labels Beyond effectiveness Novel methodology for evaluation Fairness, Accountability, Transparency, Ethics, and Explainability (FATE) in IR: Research on FATE aspects and biases in IR: Fairness, accountability, transparency Ethics, economics, and politics Two-sided search and recommendation scenarios Personal safety Multimodal IR: Research that bridges the domain of multimedia and IR, such as: Multimedia search Multimedia recommendation Multimodal for IR Domain-specific Applications: Research on domain-specific IR problems and challenges, such as: Local and mobile search Social search Search in structured data Education Legal Health Other applications and domains Other IR Topics: Research on any IR-related research that does not belong to any of the areas above, such as: Explicit semantics Knowledge acquisition Knowledge representation and reasoning Document representation and content analysis
최종 수정: Dou Sun ()

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CCF정식 명칭영향력 지수출판사ISSN
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
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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