RecSys Summer School 2024

Supported by ACM RecSys, SIGCHI, ACM Europe, EURAI, and University of Cagliari
October 8-12, 2024, Bari, Italy

Summer School on Recommender Systems

The 2024 RecSys summer school will be held from Tuesday, October 8, to Saturday, October 12, in Bari, Italy. Leaders in the field will give lectures on the practice, research, and state of the art in recommender systems. The lectures are covering a broad range of topics from an algorithmic as well as a methodological perspective and will also include hands-on sessions.

The Summer School on Recommender Systems is supported by ACM RecSys and SIGCHI. The RecSys Summer School follows previous summer schools on the same topic having taken place in Bilbao in 2006, Bolzano in 2017, Gothenburg in 2019, Fortaleza in 2019, and Copenhagen in 2023.


Lecture titleSpeaker(s)Duration
L1Best Practices for Offline EvaluationLien Michiels80 min.
L2Bias and Fairness in RecommendationMirko Marras80 min.
L3Creative and Innovative Approaches to Auditing
Recommender Systems
Catherine Baker and
Debbie Ging
60 min.
L4Considering Temporal Aspects in Recommender SystemsVeronika Bogina60 min.
L5Context-Aware Recommender Systems: Foundations and
Future Perspectives
Moshe Unger60 min.
L6Conversational Recommender Systems and Recent Trends
Driven by Large Language Models
Li Chen and
Lei Li
90 min.
L7Enhancing Reproducibility in Recommender Systems: A Path
Towards Scientific Integrity and Effective Implementation
Claudio Pomo and
Antonio Ferrara
120 min.
L8Fantastic Reviews and How to Write ThemChristine Bauer and
Olivier Jeunen
80 min.
L9Foresight and Speculative Design for Recommender SystemsFreyja van den Boom60 min.
L10From Netnews to Ethics: A Historical Overview of
Recommender Systems
Alan Said80 min.
L11Graph Neural Networks for Recommender SystemsAonghus Lawlor80 min.
L12Human-Centered Design and Evaluation of Conversational
Recommender Systems
Wanling Cai80 min.
L13Large Language Models in Recommender SystemsMarco Polignano150 min.
L14Multimodal Deep Learning for RecommendationDaniele Malitesta80 min.
L15Music Information Retrieval and its Application in
Music Recommender Systems
Lorenzo Porcaro60 min.
L16Offline Recommender Systems Evaluation: Towards a Holistic
Understanding of Recommendation Performance
Vito Walter Anelli,
Nicola Ferro, and
Maurizio Ferrari Dacrema
150 min.
L17Recent Advances in Deep Generative Models for Recommender
Systems: A Hands-On Lecture
Yashar Deldjoo,
Zhankui He, and
Anton Korikov
90 min.
L18Recommenders and Digital EconomicsAnnelien Smets60 min.
L19Semantics and Content-Based RecommendationsMarco de Gemmis80 min.
L20Towards Possibility: Interdisciplinary Perspectives on Enhancing
Recommender Systems Beyond Accuracy
Irina Nalis and
Julia Neidhardt
60 min.
L21Transformers for Recommender SystemsAleksandr V. Petrov and
Craig Macdonald
150 min.


The final program will be announced soon


To register, please fill in the following form.

Registration includes a five-day program with courses on recommender systems, coffee breaks, and lunches during all five days, a social event, and a social dinner.

IMPORTANT: Before filling in the form, you are required to pay the registration fee through PayPal or Bank Transfer. The receipt shall be attached to the registration form, so don’t forget to save it.

  • PayPal account:
  • Bank Transfer details:
    • IBAN: IT34W0344216000000074300311
    • Transfer description/message: "<Surname> <Name> - RecSys 2024 Summer School Registration Fee"

Registration Fee

Early (before August 30)Mid (before September 30)On-Site
Students€ 350€ 425€ 500
Academic€ 450€ 540€ 630
Industry€ 550€ 655€ 750

Students Grants

A limited number of grants is available for young Ph.D. students wishing to attend the school. The basic grant will cover the registration fee. In a few cases, reimbursing travel and accommodation costs will also be possible.

To apply for funding, send an application to before July 23. Your application should include a 1-page CV and a letter from your supervisor supporting your participation in the summer school. A maximum of $1500 (including the registration fee) will be reimbursed. Priority will be given to students enrolled at universities in developing and emerging countries. Notifications about grants will be sent out by July 31.

IMPORTANT: Students grants will be offered in the form of reimbursement. Should you be granted funding, you will need to register for the school and book/pay for travel and accommodation first and submit receipts afterward.


The summer school will be held at University of Bari, Department of Computer Science, Via Edoardo Orabona 4, 70125 Bari, Italy


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Reaching the venue

  • Walking: 23 minutes from Bari Centrale Station.
  • By bus: Several bus lines (i.e., 21, 22) start from Bari city center and stop at the Campus in around 15-20 min.

For more information about how to reach Bari and how to get around in the city, please refer to the specific page on the ACM RecSys 2024 website.


Please book your accommodation as soon as possible, since Bari is a very popular tourist destination in October, and it could be difficult to find a place that suits your needs.

A list of recommended hotels is provided on this page of the ACM RecSys 2024 website. We recommend using Booking or Airbnb.

IMPORTANT: Take in mind that the locations for the RecSys conference and the RecSys Summer School are different.