SIGIR 2020 : ACM SIGIR Conference on Research and development in information retrieval

  in Conferences   Posted on September 29, 2019

Conference Information

Submission Deadline Wednesday 15 Jan 2020 Proceedings indexed by :
Conference Dates Jul 26, 2020 - Jul 30, 2020
Conference Address XI\'AN, China
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 8.74
#Contributing Top Scientists 100
#Papers published by Top Scientists 270
Google Scholar H5-index 57
Number of Editions: 44 (Since 1971)
Guide2Research Overall Ranking: 33
Category Rankings
Databases & Information Systems 5
Machine Learning & Artificial Intelligence 17

Conference Call for Papers

SIGIR conference (since 1971) focuses on research and development in information retrieval. It is the major international forum for the presentation of new research and the demonstration of new systems and techniques in the broad field of information retrieval. The 5 days conference including 1 day tutorials, 3 days main conference (keynote speech, panel, research session, doctoral consortium, industry track, demonstration, poster) and 1 day workshops, as well as many academic and social events. We cordially invite all those working in areas related to IR to submit your original works including theories and foundations, algorithms and applications, evaluation and analysis to the conference.

SIGIR is the premier international forum for the presentation of new research results and for the demonstration of new systems and techniques in information retrieval. The conference consists of five days of full papers, short papers, demonstrations, tutorials and workshops focused on research and development in the area of information retrieval, as well as an industry track and social events.

Search and Ranking. Research on core IR algorithmic topics, including IR at scale, covering topics such as:

Queries and query analysis
Web search, including link analysis, sponsored search, search advertising, adversarial search and spam, and vertical search
Retrieval models and ranking, including diversity and aggregated search
Efficiency and scalability
Theoretical models and foundations of information retrieval and access
Future Directions. Research with theoretical or empirical contributions on new technical or social aspects of IR, especially in more speculative directions or with emerging technologies, covering topics such as:

Novel approaches to IR
Ethics, economics, and politics
Applications of search to social good
IR with new devices, including wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles
Domain-Specific Applications. Research focusing on domain-specific IR challenges, covering topics such as:

Social search
Search in structured data including email search and entity search
Multimedia search
Health, including genomics and bioinformatics
Other domains such as digital libraries, enterprise, news search, app search, archival search
Content Analysis, Recommendation and Classification. Research focusing on recommender systems, rich content representations and content analysis, covering topics such as:

Filtering and recommender systems
Document representation
Content analysis and information extraction, including summarization, text representation, readability, sentiment analysis, and opinion mining
Cross- and multilingual search
Clustering, classification, and topic models
Artificial Intelligence, Semantics, and Dialog. Research bridging AI and IR, especially toward deep semantics and dialog with intelligent agents, covering topics such as:

Question answering
Conversational systems and retrieval, including spoken language interfaces, dialog management systems, and intelligent chat systems
Semantics and knowledge graphs
Deep learning for IR, embeddings, and agents
Human Factors and Interfaces. Research into user-centric aspects of IR, including user interfaces, behavior modeling, privacy, and interactive systems, covering topics such as:

Mining and modeling search activity, including user and task models, click models, log analysis, behavioral analysis, and attention modeling
Interactive and personalized search
Collaborative search, social tagging and crowdsourcing
Information privacy and security
Evaluation. Research that focuses on the measurement and evaluation of IR systems, covering topics such as:

User-centered evaluation methods, including measures of user experience and performance, user engagement and search task design
Test collections and evaluation metrics, including the development of new test collections
Eye-tracking and physiological approaches, such as fMRI
Evaluation of novel information access tasks and systems such as multi-turn information access
Statistical methods and reproducibility issues in information retrieval evaluation

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