4th CFP (FINAL): 15th Italian Information Retrieval Workshop (IIR 2025)
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Mirko Marras
Jun 19, 2025, 2:01:07 AM6/19/25
to Mirko Marras
Please accept our apologies in case of multiple receptions.
Please send to interested colleagues and students.
# CALL FOR PAPERS #
15th Italian Information Retrieval Workshop (IIR 2025)
September 3-5, 2025 - Cagliari (Italy)
# IMPORTANT DATES #
- Submission deadline: June 26, 2025
- Notification of acceptance: July 24, 2025- Camera-ready deadline: July 31, 2025
- Workshop days: September 3-5, 2025
Deadlines refer to 23:59 (11:59 PM) in the AoE (Anywhere on Earth) time zone
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.
# WORKSHOP AIMS AND SCOPE #
IIR 2025 is the 15th edition of the Italian Information Retrieval Workshop and will be held September 3-5, 2025 at the University of Cagliari (https://www.unica.it/).
This edition of IIR will particularly focus on the theme of “Human-Centric and Generative AI for Information Access”.
# WORKSHOP TOPICS #
IIR 2025 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 (RS), 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, Sustainable Recommender Systems
**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
- Music information retrieval and related domains
- Applications addressing {mis-, dis-}information, such as fact-checking, credible information retrieval, and responsible recommender systems
- 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
- Data and information quality
**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 doctoral 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 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):
- Overleaf template: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw
- CEUR.WS repository (offline version): https://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.
# WORKSHOP TOPICS #
IIR 2025 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 (RS), 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, Sustainable Recommender Systems
**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
- Music information retrieval and related domains
- Applications addressing {mis-, dis-}information, such as fact-checking, credible information retrieval, and responsible recommender systems
- 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
- Data and information quality
**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 doctoral 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 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):
- Overleaf template: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw
- CEUR.WS repository (offline version): https://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.
# REGISTRATION #
Participation in the IIR 2025 will be free of charge. However, advance registration will be strictly required.
# ORGANIZERS #
**General Chairs**
Ludovico Boratto, University of Cagliari, Italy
Mirko Marras, University of Cagliari, Italy
**Program Chairs**
Allegra De Filippo, University of Bologna, Italy
Stefano Marchesin, University of Padua, Italy
# CONTACTS #
For general enquiries on the workshop, please send an email to ludovico...@acm.org and mirko....@acm.org.
--
Mirko Marras (he/him) | Ph.D. 
Tenure-Track Assistant Professor (RTT)
University of Cagliari | Dept. of Mathematics and Computer Science
Palazzo delle Scienze, Via Ospedale 72 (Google Maps)
09124 Cagliari | Italy
Ludovico Montalcini
Jun 20, 2025, 10:24:16 AM6/20/25
to comp-neuro@neuroinformatics.be <comp-neuro@neuroinformatics.be>,, connectionists@cs.cmu.edu <connectionists@cs.cmu.edu>,, ml-news@googlegroups.com <ml-news@googlegroups.com>,, systems-neuroscience@googlegroups.com <systems-neuroscience@googlegroups.com>,, maths-neuronet@lists.nottingham.ac.uk
* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *
IAISS2025, A Residential Summer School in AI & Generative AI for Science and Engineering
IAISS 2025 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts.
* Riva del Sole Resort & SPA @ Tuscany, Italy, Sept 21-25, 2025 *
https://2025.iaiss.cc
📧 ia...@icas.cc
⏰ REGISTRATION: by June 23 (AoE)
https://2025.iaiss.cc/registration/
Oral Presentation Submission Deadline: by June 23 (AoE)
Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract must be submitted by June 23 during the registration process.
LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.
Yuki Asano, University of Technology Nuremberg, Germany
Pierre Baldi, University of California, Irvine, CA,USA
Lucas Beyer, OpenAI, Zürich, Switzerland
Wessel Bruinsma, Microsoft Research Amsterdam, The Netherlands
Sam Buchanan, Toyota Technological Institute at Chicago, USA
Floris Geerts, University of Antwerp, Belgium
Sven Giesselbach, Fraunhofer Institute - IAIS & Telecom Systems
Vicky Kalogeiton, Ecole Polytechnique Paris, France
Thomas Kipf, Google DeepMind, USA
Yi Ma, University of California, Berkeley, USA
Qing Qu, University of Michigan, USA
Abigail See, Google DeepMind, London, UK
Michal Valko, Meta Paris, France
Yaodong Yu, OpenAI, USA
Daniel Zügner, Microsoft Research Berlin, Germany
TUTORIAL SPEAKERS:
Druv Pai, University of California, Berkeley, USA
https://2025.iaiss.cc/lecturers/
https://2025.iaiss.cc/lectures/
VENUE:
https://2025.iaiss.cc/venue/
Riva del Sole Resort & SPA
Località Riva del Sole‚ Castiglione della Pescaia (Grosseto)
CAP 58043‚ Tuscany‚ Italy
p: +39-0564-928111
📧 booking...@rivadelsole.it
w: https://www.rivadelsole.it/en/
REGISTRATION: https://2025.iaiss.cc/registration/
CERTIFICATE & 8 ECTS:
The International Artificial Intelligence Summer School – IAISS 2025 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment.
PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School.
Language: English.
To participate in the IAISS 2025, all attendants must
(1/2) register for the school (by June 23, 2025) and
(2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2025); all attendants must stay at the “Riva del Sole Resort & SPA”.
Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (ia...@icas.cc).
IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.
For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking...@rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use.
IAISS is organized as a non-profit scientific event.
Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking.
Anyone interested in participating in IAISS 2025 should register as soon as possible:
https://2025.iaiss.cc/registration/
See you in Riva del Sole in September!
IAISS 2025 Organizing Committees.
https://2025.iaiss.cc
📧 ia...@icas.cc
Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2025.iaiss.cc
the News Section: https://2025.iaiss.cc/category/news/
and the FAQ: https://2025.iaiss.cc/faq/
* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *
IAISS2025, A Residential Summer School in AI & Generative AI for Science and Engineering
IAISS 2025 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts.
* Riva del Sole Resort & SPA @ Tuscany, Italy, Sept 21-25, 2025 *
https://2025.iaiss.cc
📧 ia...@icas.cc
⏰ REGISTRATION: by June 23 (AoE)
https://2025.iaiss.cc/registration/
Oral Presentation Submission Deadline: by June 23 (AoE)
Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract must be submitted by June 23 during the registration process.
LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.
Yuki Asano, University of Technology Nuremberg, Germany
Pierre Baldi, University of California, Irvine, CA,USA
Lucas Beyer, OpenAI, Zürich, Switzerland
Wessel Bruinsma, Microsoft Research Amsterdam, The Netherlands
Sam Buchanan, Toyota Technological Institute at Chicago, USA
Floris Geerts, University of Antwerp, Belgium
Sven Giesselbach, Fraunhofer Institute - IAIS & Telecom Systems
Vicky Kalogeiton, Ecole Polytechnique Paris, France
Thomas Kipf, Google DeepMind, USA
Yi Ma, University of California, Berkeley, USA
Qing Qu, University of Michigan, USA
Abigail See, Google DeepMind, London, UK
Michal Valko, Meta Paris, France
Yaodong Yu, OpenAI, USA
Daniel Zügner, Microsoft Research Berlin, Germany
TUTORIAL SPEAKERS:
Druv Pai, University of California, Berkeley, USA
https://2025.iaiss.cc/lecturers/
https://2025.iaiss.cc/lectures/
VENUE:
https://2025.iaiss.cc/venue/
Riva del Sole Resort & SPA
Località Riva del Sole‚ Castiglione della Pescaia (Grosseto)
CAP 58043‚ Tuscany‚ Italy
p: +39-0564-928111
📧 booking...@rivadelsole.it
w: https://www.rivadelsole.it/en/
REGISTRATION: https://2025.iaiss.cc/registration/
CERTIFICATE & 8 ECTS:
The International Artificial Intelligence Summer School – IAISS 2025 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment.
PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School.
Language: English.
To participate in the IAISS 2025, all attendants must
(1/2) register for the school (by June 23, 2025) and
(2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2025); all attendants must stay at the “Riva del Sole Resort & SPA”.
Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (ia...@icas.cc).
IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.
For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking...@rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use.
IAISS is organized as a non-profit scientific event.
Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking.
Anyone interested in participating in IAISS 2025 should register as soon as possible:
https://2025.iaiss.cc/registration/
See you in Riva del Sole in September!
IAISS 2025 Organizing Committees.
https://2025.iaiss.cc
📧 ia...@icas.cc
Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2025.iaiss.cc
the News Section: https://2025.iaiss.cc/category/news/
and the FAQ: https://2025.iaiss.cc/faq/
* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *
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