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SIGIR 2026: International Conference on Research and Development in Information Retrieval

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投稿締切日:
2026-01-15
通知日:
2026-04-02
開催日:
2026-07-20
開催地:
Melbourne | Naarm, Australia
開催回数:
49
CCF: A   ICORE: A*   QUALIS: A1   閲覧: 103160562   フォロー: 385   参加: 38

論文募集

SIGIR 2026 (International Conference on Research and Development in Information Retrieval) is a CCF A / ICORE A* / QUALIS A1 conference held in Melbourne | Naarm, Australia on 2026-07-20. The paper submission deadline is 2026-01-15. Acceptance notifications are sent on 2026-04-02.

Relevant topic areas include (but are not limited to): Search and Ranking. Research on core IR algorithmic topics, such as: Queries and query analysis. Web search. Retrieval models and ranking. Theoretical models and foundations of information retrieval and access. System, Efficiency and Scalability. Research on search system aspects that relate to the efficiency of the system and/or its scalability, such as: Efficient and scalable indexing, crawling, compression, search, and more. Energy efficiency and green computing for IR. Search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud, edge IR. Recommender Systems. Research focusing on recommender systems, rich content representations and content analysis for recommendation, such as: Filtering and recommendation. Cross-domain recommendation, socially-aware and context-aware recommender systems, multi-stakeholder recommendations. Novel approaches to recommendation, including voice, VR/AR, etc. Other theoretical models and foundations of recommender systems. Machine Learning for IR. Research bridging ML and IR, such as: Deep learning for IR. Reinforcement learning for IR. Generative IR. Click models and learning from interactions. New classification and clustering methods for IR. Natural Language Processing for IR. Research bridging NLP and IR, such as: Representation learning for IR. Large Language Models for IR. Retrieval Augmented Generation (RAG). Question Answering. Conversational or Agentic IR. Research focusing on developing intelligent IR systems that can understand and respond to users' natural language queries and provide relevant information or recommendations through interactive conversations: 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 agents. Humans and Interfaces. Research into user-centric aspects of IR including user interfaces, behavior modeling, privacy, interactive systems, such as: User studies, qualitative and quantitative. User interfaces and visualization. Social and collaborative search. User modeling. Datasets, Benchmarks, and Evaluations for IR. Research that focuses on the measurement and evaluation of IR systems, such as: Benchmarks and test collections. User-centered evaluation. New methods for building data sets. Online evaluation. Session-based evaluation. Simulation for evaluation. Metrics. Evaluation methodology. Fairness, Accountability, Transparency, Ethics, and Explainability (FATE) in IR. Research on aspects of FATE and bias in search systems and related applications: Fairness, accountability, transparency and explainability. Ethics, economics, and politics. Multi Modal IR. Theoretical, algorithmic or novel practical solutions addressing problems across the domain of multimedia and IR, such as: Multimedia search and retrieval (e.g., image search, video search, speech and audio search, music search). Maps and spatial search. Domain-Specific IR Applications. Research focusing on domain-specific IR challenges, such as: Local and mobile search. Social search. Search in structured data. Education. Legal. Health. Other applications and domains. Other IR Topics. Any IR Research that does not fall into any of the areas above. For example, but not limited to: Explicit semantics. Information Extraction. Knowledge acquisition and representation. Document representation and content analysis. Information security.
最終更新：Dou Sun（）

採択率

平均採択率: 21% 9 年間 (2014–2022).

年投稿数採択数採択率(%)
202279416120.3%
202172015121%
202055514726.5%
20194268419.7%
20184098621%
20173627821.5%
20163416218.2%
20153517019.9%
20143878221.2%

ベストペーパー

年ベストペーパー
2025WARP: An Efficient Engine for Multi-Vector Retrieval
2024Scaling Laws For Dense Retrieval
2024A Workbench for Autograding Retrieve/Generate Systems
2023The Information Retrieval Experiment Platform
2022A Non-Factoid Question-Answering Taxonomy
2021Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness
2020Controlling Fairness and Bias in Dynamic Learning-to-rank
2019Variance Reduction in Gradient Exploration for Online Learning to Rank
2018Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems
2017BitFunnel: Revisiting Signatures for Search
2016Understanding Information Need: An fMRI Study
2015QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees
2014Partitioned Elias-Fano Indexes
2013Beliefs and Biases in Web Search
2012Time-Based Calibration of Effectiveness Measures
2011Find it if you can: a game for modeling different types of web search success using interaction data
2010Assessing the scenic route: measuring the value of search trails in web logs
2009Sources of evidence for vertical selection
2008Algorithmic mediation for collaborative exploratory search
2007Studying the use of popular destinations to enhance web search interaction
2006Minimal test collections for retrieval evaluation
2006Quantum haystacks
2005Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval
2004A formal study of information retrieval heuristics
2003Re-examining the potential effectiveness of interactive query expansion
2002Novelty and redundancy detection in adaptive filtering
2001Temporal Summaries of News Topics
2000IR evaluation methods for retrieving highly relevant documents
1999Cross-Language Information Retrieval Based on Parallel Texts and Automatic Mining of Parallel Texts from the Web
1998A Theory of Term Weighting Based on Exploratory Data Analysis
1997Users Lost: Reflections on the Past, Future, and Limits of Information Science (Summary)
1997Feature Selection, Perceptron Learning, and a Usability Case Study for Text Categorization
1996Retrieving Spoken Documents by Combining Multiple Index Sources
1994The Formalism of Probability Theory in IR: A Foundation for An Encumbrance?
1991The Significance of the Cranfield Tests on Index Languages
1988A Look Back and A Look Forward

これを見た人はこちらも見ています

CCFICOREQUALIS略称正式名称投稿締切通知日開催日
BA*A1ICDMInternational Conference on Data Mining2026-06-062026-08-162026-11-12
AA1UbicompACM International Joint Conference on Pervasive and Ubiquitous Computing2026-05-172026-07-012026-10-13
BA1SenSysACM/IEEE Conference on Embedded Artificial Intelligence and Sensing Systems2025-11-062026-01-292026-05-11
AA*A1SIGMODACM Conference on Management of Data2026-10-102027-01-192027-06-13
AA*A1ICDEInternational Conference on Data Engineering2026-11-112027-02-102027-05-17
BAA1CIKMACM International Conference on Information and Knowledge Management2026-05-162026-08-072026-11-07
BB1WISEInternational Conference on Web Information Systems Engineering2026-06-172026-07-202026-11-02
AA2PPoPPACM SIGPLAN Annual Symposium Principles and Practice of Parallel Programming2026-08-032026-10-262027-03-20
BA*A1SIGMETRICSInternational Conference on Measurement and Modeling of Computer Systems2027-01-112027-03-102027-06-07
AA*A1SODAACM-SIAM Symposium on Discrete Algorithms2025-12-082026-01-11

関連会議

CCFICOREQUALIS略称正式名称投稿締切通知日開催日
SIGIR-APInternational ACM SIGIR Conference on Information Retrieval in the Asia Pacific2024-07-012024-09-232024-12-09
ICTIRACM SIGIR International Conference on the Theory of Information Retrieval2020-05-112020-06-302020-09-14
CHIIRACM SIGIR Conference on Human Information Interaction and Retrieval2026-10-082026-12-152027-03-07
AA*A1AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
AA*A1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
AA*A1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
AA*A1OSDIUSENIX Symposium on Operating Systems Design and Implementation2025-12-042026-03-262026-07-13
AA*A1ICMLInternational Conference on Machine Learning2026-01-232026-07-06
AA*A1INFOCOMInternational Conference on Computer Communications2025-07-242025-12-082026-05-18
AA*A1ICCVInternational Conference on Computer Vision2025-03-072025-06-252025-10-19

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
CSignal Processing3.6Elsevier0165-1684
CNeurocomputing6.5Elsevier0925-2312
BJournal of Web Semantics3.1Elsevier1570-8268
CComputer Communications4.3Elsevier0140-3664
Computer Science - Research and DevelopmentSpringer1865-2034
International Journal of Multimedia Information Retrieval2.9Springer2192-6611
Development EngineeringElsevier2352-7285
Information Technology for Development6.4Taylor & Francis0268-1102
AIEEE Transactions on Multimedia9.7IEEE1520-9210
AIEEE Transactions on Computers3.8IEEE0018-9340

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