Conference Information

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

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SIGIR-AP
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Submission Date:
2024-07-01
Notification Date:
2024-09-23
Conference Date:
2024-12-09
Location:
Tokyo, Japan
Years:
2
Viewed: 7878   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.5 / 100
Ranked #3,555 of 5,682 conferences · Top 63%

#208 of 337 in Data Mining & Databases

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
37
Community attention (10%)
10
Public record completeness (15%)
50

Inputs used: Editions on record: 3 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

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
Last updated by Dou Sun on

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