[CFP] IIR 2024: The 14th Italian Information Retrieval Workshop. September 5-6, 2024 (Udine, Italy)

[sandip modha]

[Apologies for multiple postings]

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IIR 2024: THE 14TH ITALIAN INFORMATION RETRIEVAL WORKSHOP

SEPTEMBER 5-6, 2024 - University of Udine, Italy

https://iir2024.uniud.it/

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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 researchers (especially young ones), and other academic and industrial players interested in IR research can network and discuss their research results in an informal way.

Traditionally, IIR has been a focal point for the Italian Information Retrieval community, but it strongly encourages and welcomes participation from international researchers to enrich and expand collaborative opportunities.

Participation in the IIR 2024 workshop will be free of charge. However, advance registration will be strictly required.

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TOPICS

IIR offers the opportunity to present and discuss both theoretical and empirical research. Relevant topics include, but are not restricted to:

Search and Ranking. Research on core Information Retrieval (IR), including IR at scale, covering topics such as:

• Theoretical models and foundations of IR and access
• Retrieval and ranking models, including diversity and aggregated search
• Web search, including link analysis, sponsored search, search advertising, adversarial search and spam, and vertical search
• Cross- and multilingual search
• Queries and query analysis

Recommendation. Research focusing on Information Filtering and Recommender Systems, covering topics such as:

• Information Filtering and Recommendation, including Collaborative Filtering, Content-based Filtering, Hybrid Recommender Systems, Context-aware Recommendation
• Deep Learning in RecSys, Scalability and Efficiency, Evaluation Metrics and Methodologies, User Interfaces and Visualization
• Privacy, Security, and Ethics, Domain-specific Recommendations, Social and Trust-based Recommendations, Explainable and Interpretable Recommendations

Content Representation and Analysis. Research focusing on rich content representations and analysis, covering topics such as:

• Document representation, including multimodal representation
• Content analysis and information extraction, including readability, sentiment analysis, and opinion mining
• Clustering, classification, summarization, and topic modeling

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, 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

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 and Recommender 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
• 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 and RS
• Ethics, economics, and politics
• Applications of search and recommendation to social good
• IR and RS with new devices, including wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles

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SUBMISSIONS

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 IR community.

Authors are invited to submit one of the following types of contributions:

• Full papers (10 pages, plus unlimited pages for references)
• Short papers (5 pages, plus unlimited pages for references)
• Extended abstracts containing descriptions of ongoing projects or presenting already published results (up to 4 pages, plus unlimited pages for references). If presenting already published results the extended abstract should not be anonymous and contain a reference to the original published paper.

Submissions of research papers must be in English, single blind, in PDF format in the CEUR-WS single-column conference format available either at (for the Overleaf template) https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw or (for the offline version) http://ceur-ws.org/Vol-XXX/CEURART.zip

Submission will be peer-reviewed and single-blind. The authors of the accepted papers will have the possibility to decide whether the paper will appear or not in the CEUR Workshop Series Proceedings.

Submission will be through the submission system at: https://cmt3.research.microsoft.com/IIR2024/

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IMPORTANT DATES

• Submission deadline: June 15th, 2024
• Notification of acceptance: August 7th, 2024
• Camera-ready deadline: August 23th, 2024
• IIR 2024: September 5th-6th, 2024

Deadlines refer to 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time zone.

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ORGANIZATION

• General Chairs: Eddy Maddalena and Stefano Mizzaro (University of Udine)
• Program Chairs: Kevin Roitero (University of Udine) and Marco Viviani (University of Milano-Bicocca)
• Proceedings co-chairs: David La Barbera (University of Udine), Sandip Modha (University of Milano-Bicocca)
• Best Paper Award Chair: Gabriella Pasi (University of Milano-Bicocca)
• Local Organization Chair: Francesca Da Ros (University of Udine)
• Website Chair: Michael Soprano (University of Udine)

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Regards

Sandip Modha (Post-Doctoral Research fellow)

University of Milano-Bicocca

Department of Informatics, Systems, and Communication (DISCo)

Information and Knowledge Representation, Retrieval, and Reasoning (IKR3) Lab

Edificio U14 - ABACUS, Viale Sarca, 336 - 20126 Milan (Italy)