Call For Papers

IntRS'25 held in conjunction with the ACM Conference on Recommender Systems (RecSys 2025)

Prague, 22nd-26th September 2025

Deadlines

• Paper submission deadline:         July 10, 2025 July 17, 2025

• Reviewer deadline:                            July 31, 2025

• Author notification:                           August 6, 2025

• Camera-ready version:                           August 20, 2025
  
  

Submission Site

https://easychair.org/conferences/?conf=recsys2025workshops

Topics
A fundamental challenge in the design of the user interface for recommender systems lies in striking the right balance between personalization, diversity, and serendipity. While users want recommendations aligned with their tastes and past behavior, excessive personalization risks creating an echo chamber effect, curtailing exploration and discovery. This is where interfaces that offer a range of options, unexpected recommendations, and delightful, serendipitous finds can make the user experience truly dynamic and rewarding. Moreover, the rise of large language models such as GPT, Mistral, and LLaMA has pushed recommender systems research into new territory, requiring a more comprehensive exploration.

Topics of interest include, but are not limited to:

User Interfaces

• Visual interfaces

• Explanation interfaces

• Ethical issues (Fairness and Biases) in explainable interfaces

• Collaborative multi-user interfaces (e.g., for group decision-making)

• Spoken and natural language interfaces

• Trust-aware interfaces

• Social interfaces

• Context-aware interfaces

• Ubiquitous and mobile interfaces

• Conversational interfaces

• Example- and demonstration-based interfaces

• New approaches to designing interfaces for recommender systems

• UIs counteracting decision manipulation

• User interfaces and cognitive overload

• Psychological aspects of privacy-aware recommendation interfaces

• Generative AI for Recommender Systems interfaces

Interaction, user modeling, and decision-making

• Cognitive Modeling for Recommender Systems

• Symbiotic recommender systems

• Explainability of decision-making models

• User-adaptive XAI systems

• Controllability, transparency, and scrutability of decision-making models

• Decision theories and biases (e.g., priming, framing, and decoy effects)

• Detection and avoidance of decision biases (e.g., in item presentations)

• Preference elicitation and construction (e.g., eye tracking for automated preference elicitation)

• The role of emotions in recommender systems (e.g., emotion-aware recommendation)

• Trust inspiring UIs (e.g., explanation-aware RSs)

• Argumentation & persuasive recommendation (e.g., aspects of nudging in RSs)

• Cultural differences (e.g., culture-aware recommendation)

• Mechanisms for effective group decision-making (e.g., group recommendation heuristics)

• Decision theories for effective group decision-making (e.g., hidden profile management)

• Voting Advice Applications

• Human-LLMs interaction, prompting, and chaining

Evaluation

• User-centric evaluation for Symbiotic AI interfaces

• Application descriptions and related case studies in Human-Centered Recommender Systems

• Benchmarking platforms for Human-Centered Recommender Systems

• Empirical studies and evaluations of new interfaces

• Empirical studies and evaluations of new interaction designs

• Evaluation methods and metrics (e.g., evaluation questionnaire design)

• Psychological aspects in user-centric evaluation

• Case studies
  
  

Paper Formatting Instructions and Submission

Accepted papers will be included in the workshop proceedings published on the CEUR-WS.org site.

We will invite two kinds of submissions, which address novel interface issues in recommender systems by following the new 2022 CEUR-ART – 1 Column papers style (https://ceur-ws.org/Vol-XXX/CEURART.zip):

• Short or Demo papers. The maximum length is 8 pages (plus up to 2 pages of references).

• Long papers. The maximum length is 16 pages (plus up to 2 pages of references).

Submitted papers will be evaluated according to their originality, technical content, style, clarity, and relevance to the workshop.
For short papers we will encourage alternative modes of presentation such as demos, playing out of scenarios, mockups, and alternate media such as video. Demonstration sessions will provide the opportunity to show innovative interface designs for recommender systems.

Registration
At least one author of each accepted paper must register and attend the workshop.

Organizers 

• Peter Brusilovsky - peterb@pitt.edu, School of Information Sciences, University of Pittsburgh, USA

• Alexander Felfernig - alexander.felfernig@ist.tugraz.at, Software Engineering and AI, Graz University of Technology, Austria

• Pasquale Lops - pasquale.lops@uniba.it, Dept. of Computer Science, University of Bari Aldo Moro, Italy

• Marco Polignano - marco.polignano@uniba.it, Dept. of Computer Science, University of Bari Aldo Moro, Italy

• Giovanni Semeraro - giovanni.semeraro@uniba.it, Dept. of Computer Science, University of Bari Aldo Moro, Italy

• Martijn C. Willemsen - M.C.Willemsen@tue.nl, Eindhoven University of Technology, The Netherlands