IIR 2023 : 13th Italian Information Retrieval Workshop
Conference Series : Italian Information Retrieval Workshop
Call For Papers
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.
IIR 2023 offers the opportunity to present and discuss theoretical and empirical research. Relevant topics include, but are not restricted to:
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
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:
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:
Search in structured data including email and entity 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
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:
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=share_link.
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/.
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 email@example.com