Scope
The purpose of the Italian Information Retrieval Workshop (IIR) is to provide a meeting forum for stimulating and disseminating research in Information Retrieval, where Italian researchers (especially young ones) and researchers affiliated with Italian institutions can network and discuss their research results in an informal way.
IIR 2023 is the 13th edition of the Italian Information Retrieval Workshop. It will take place on June 8th - 9th, 2023 and is organized by the National Research Council of Italy (CNR) and the University of Pisa.
Participation in the IIR 2023 workshop will be free of charge. However, advance registration will be strictly required. Topics
IIR 2023 offers the opportunity to present and discuss theoretical and empirical research. Relevant topics include, but are not restricted to:
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Search and Ranking. Research on core Information Retrieval (IR) algorithmic topics, including IR at scale, covering topics such as: -
Theoretical models and foundations of IR and access -
Retrieval models and ranking models, including diversity and aggregated search -
Web search, including link analysis, sponsored search, search advertising, adversarial search and spam, and vertical search -
Queries and query analysis -
Recommendation, Content Analysis, and Classification. Research focusing on recommender systems (RS), 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, NLP, 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, Large Language Models, and agents -
NLP techniques used to enhance search and recommendation -
Domain-Specific Applications. Research focusing on domain-specific challenges, covering topics such as: -
Social search -
Search in structured data including email and entity search -
Multimedia search -
Search and recommendation for Educational, Legal, Health - including genomics and bioinformatics -, and Academic domains -
Other domains such as digital libraries, enterprise, news, app, and archival search -
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 and recommendation -
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 -
Efficiency and scalability -
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 and RS with new devices, including wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles
Submissions
Papers may range from theoretical works to system descriptions. We particularly encourage PhD students or Early-Stage Researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the IIR community.
Authors are invited to submit one of the following types of contributions:
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Full original papers (10 pages, plus additional pages for references if needed) -
Short original papers (5 pages, plus additional pages for references if needed) -
Extended abstracts containing descriptions of ongoing projects or presenting already published results (up to 4 pages, plus additional pages for references if needed). If presenting already published results the extended abstract should be single-blind and contain a reference to the original published paper.
Submissions of full research papers must be in English, in PDF format in the CEUR-WS single-column conference format available at https://drive.google.com/file/d/1_onwNQpVPD0ViZPrhGfardLrsP0sgmIp/view?usp=s... .
Submission will be peer-reviewed and accepted papers will appear in the CEUR workshop series (at the authors’ discretion).
Submission will be through CMT at https://cmt3.research.microsoft.com/IIR2023/. Important Dates
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Submission website opens: March 15, 2023 -
Submission deadline: April 15, 2023 -
Notification of acceptance: May 16, 2023 -
Camera-ready deadline: May 30th, 2023 -
IIR 2023: June 8th-9th, 2023
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone. For further information, visit the website http://iir2023.isti.cnr.it/ or contact us to guglielmo.faggioli@unipd.it