SIGIR-AP 2026

Deadlines
AI/CORE Unranked

SIGIR-AP 2026

4th International ACM SIGIR Conference on Information Retrieval in the Asia Pacific

1797091200000SingaporeOfficial conference site Site reachable

SIGIR-AP 2026 is the 4th International ACM SIGIR Conference on Information Retrieval in the Asia-Pacific region, held in Singapore from December 13–15, 2026. It serves as a hybrid forum for disseminating cutting-edge research in information retrieval, welcoming contributions across theoretical, empirical, industrial, and applied domains, with a focus on advancing information access methods and fostering community engagement through tutorials, workshops, and collaborative tracks.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Regular Submissions

New, original contributions including: Original research papers, Resource papers (test collections, software tools, services), Reproducibility papers, Industry papers, Perspective papers

SIGIR-Revise-and-Resubmit (SIGIR-RR) Submissions

Revised manuscripts of papers previously submitted to SIGIR 2026 (or ICTIR) that were not accepted, accompanied by a response to reviews and the original anonymized submission

Research areas in scope

01

Topics of Interest

Search and Ranking: Queries and query analysis, Web search, Retrieval models and ranking, Theoretical models and foundations of information retrieval and accessSystem, Efficiency and Scalability: Efficient and scalable indexing, crawling, compression, search, Energy efficiency and green computing for IR, Search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud, edge IRRecommender Systems: Filtering and recommendation, Cross-domain recommendation, socially-aware and context-aware recommender systems, multi-stakeholder recommendations, Novel approaches to recommendation including voice, VR/ARMachine Learning for IR: Deep learning for IR, Reinforcement learning for IR, Generative IR, Click models and learning from interactions, New classification and clustering methods for IRNatural Language Processing for IR: Representation learning for IR, Large Language Models for IR, Retrieval Augmented Generation (RAG), Question AnsweringConversational or Agentic IR: End-to-end conversational IR models and optimization, Session based search or recommendation, user engagement, Conversational question answer, conversational IR for tasks, dialog systems, spoken language interfaces, intelligent chat systems, Intelligent personal assistants and agentsHumans and Interfaces: User studies, qualitative and quantitative, User interfaces and visualization, Social and collaborative search, User modelingDatasets, Benchmarks, and Evaluations for IR: Benchmarks and test collections, User-centered evaluation, New methods for building data sets, Online evaluation, Session-based evaluation, Simulation for evaluation, Metrics, Evaluation methodologyFairness, Accountability, Transparency, Ethics, and Explainability (FATE) in IR: Fairness, accountability, transparency and explainability, Ethics, economics, and politicsMulti Modal IR: Multimedia search and retrieval (e.g., image search, video search, speech and audio search, music search), Maps and spatial searchDomain-Specific IR Applications: Local and mobile search, Social search, Search in structured data, Education, Legal, Health, Other applications and domainsOther IR Topics: Explicit semantics, Information Extraction, Knowledge acquisition and representation, Document representation and content analysis, Information security

Policies worth checking twice

  • Submissions must be original and not published or simultaneously submitted elsewhere.
  • Double-anonymized review process: authors must remove all identifying information and anonymize citations to their prior work.
  • Papers must be 2–9 pages (excluding references) in ACM two-column format.
  • Authors may submit papers posted on pre-print platforms (e.g., arXiv), but must take reasonable steps to make them non-discoverable (e.g., change title).
  • Resource and industry papers may not be fully anonymized if the resource/system is publicly identifiable, but author names must be removed.
  • Author list cannot be changed after abstract submission.
  • At least one author of each accepted paper must register and present (in person or remotely).
  • Submissions violating anonymity, formatting, length, or ACM policies (e.g., plagiarism) are subject to desk rejection.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026