14th Italian Information Retrieval Workshop

September 5-6 2024, Udine, Italy

About IIR 2024

IIR 2024

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.

IIR 2024 is the 14th edition of the Italian Information Retrieval Workshop. It will take place on September 5-6, 2024 at the University of Udine (https://www.uniud.it/).

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

Call For Papers

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 multi-lingual 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

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 Overleaf website or CEUR-WS repository (for the offline version):

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 the following link:

https://cmt3.research.microsoft.com/IIR2024/

Important Dates

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

Submission deadline

June 15, 2024

June 30, 2024

Notification of acceptance

August 7, 2024

Camera-ready deadline

August 23, 2024

IIR 2024

September 5-6, 2024

Program

The program for the 14th Italian Information Retrieval Workshop

Detailed Program (Rome Timezone, GMT+1)

To be announced

To be announced

Organizers

The team behind IIR 2024

Eddy Maddalena

Eddy Maddalena

General Chair (University of Udine)

Stefano Mizzaro

Stefano Mizzaro

General Chair (University of Udine)

Kevin Roitero

Kevin Roitero

Program Chair (University of Udine)

Marco Viviani

Marco Viviani

Program Chair (University of Milano-Bicocca)

David La Barbera

David La Barbera

Proceedings Co-Chair (University of Udine)

Sandip Modha

Sandip Modha

Proceedings Co-Chair (University of Milano-Bicocca)

Gabriella Pasi

Gabriella Pasi

Best Paper Award Chair (University of Milano-Bicocca)

Francesca Da Ros

Francesca Da Ros

Local Organization Chair (University of Udine)

Michael Soprano

Michael Soprano

Website Chair (University of Udine)

Sponsors

If you would like to become a sponsor of IIR 2024, please contact us

The 14th Italian Information Retrieval Workshop is sponsored by the European Union's NextGenerationEU PNRR M4.C2.1.1 – PRIN 2022 project 20227F2ZN3 MoT--The Measure of Truth: An Evaluation-Centered Machine-Human Hybrid Framework for Assessing Information Truthfulness, CUP G53D23002800006

Policy Against Harassment

At IIR 2024

The 14th Italian Information Retrieval Workshop follows ACM’s policy against harassment. You may find it at the link below.