ACM Europe School on Recommender Systems 2024

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

ACM Europe School on Recommender Systems 2024

The 2024 ACM Europe School on Recommender Systems 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 ACM Europe School on Recommender Systems is supported by ACM RecSys and SIGCHI. The ACM Europe School on Recommender Systems 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.

Lectures

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
Wanling Cai,
Li Chen, and Lei Li
90 min.
L7Enhancing Reproducibility in Recommender Systems: A Path
Towards Scientific Integrity and Effective Implementation
Antonio Ferrara and
Claudio Pomo
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.

Program

Tuesday, October 8, 2024

TimeLecture / EventSpeaker(s)
9:15 - 10:15Registration
9:15 - 10:15Welcome Break
10:15 - 10:40Opening
10:40 - 11:40From Netnews to Ethics: A Historical Overview of Recommender SystemsAlan Said
11:40 - 13:00Graph Neural Networks for Recommender SystemsAonghus Lawlor
13:00 - 14:00Lunch (offered by OVS)
14:00 - 16:00Offline Recommender Systems Evaluation: Towards a Holistic Understanding of
Recommendation Performance
Vito Walter Anelli, Nicola Ferro,
and Maurizio Ferrari Dacrema
16:00 - 16:30Break
 16:30 - 17:50Best Practices for Offline EvaluationLien Michiels

Wednesday, October 9, 2024

TimeLecture / EventSpeaker(s)
9:00 - 10:20Semantics and Content-Based RecommendationsMarco de Gemmis
10:20 - 10:50Break
10:50 - 12:20Large Language Models in Recommender SystemsMarco Polignano
12:20 - 13:20Lunch (offered by EY)
13:20 - 15:00Recent Advances in Deep Generative Models for Recommender Systems:
A Hands-On Lecture
Yashar Deldjoo, Zhankui He, and
Anton Korikov
15:00 - 15:30Break
15:30 - 16:50Multimodal Deep Learning for RecommendationDaniele Malitesta
from 18:00Social Event

Thursday, October 10, 2024

TimeLecture / EventSpeaker(s)
9:30 - 10:50Bias and Fairness in RecommendationMirko Marras
10:50 - 11:20Break
11:20 - 13:20Transformers for Recommender SystemsAleksandr V. Petrov and Craig Macdonald
13:20 - 14:20Lunch (offered by SIGCHI)
14:20 - 15:40Conversational Recommender Systems and Recent Trends Driven by LLMs (Part 1)Wanling Cai, Li Chen, and Lei Li
15:40 - 16:10Break
16:10 - 17:20Conversational Recommender Systems and Recent Trends Driven by LLMs (Part 2)Wanling Cai, Li Chen, and Lei Li
from 19:00Social Dinner

Friday, October 11, 2024

TimeLecture / EventSpeaker(s)
9:30 - 10:30Recommenders and Digital EconomicsAnnelien Smets
10:30 - 11:00Break
11:00 - 12:00Creative and Innovative Approaches to Auditing Recommender SystemsCatherine Baker and Debbie Ging
12:00 - 13:00Foresight and Speculative Design for Recommender SystemsFreyja van den Boom
13:00 - 14:10Lunch (offered by ACM)
14:10 - 15:10Music Information Retrieval and its Application in Music Recommender SystemsLorenzo Porcaro
15:10 - 16:10Context-Aware Recommender Systems: Foundations and Future PerspectivesMoshe Unger
16:10 - 16:40Break
16:40 - 17:40Considering Temporal Aspects in Recommender SystemsVeronika Bogina

Saturday, October 12, 2024

TimeLecture / EventSpeaker(s)
9:20 - 10:40Fantastic Reviews and How to Write ThemChristine Bauer and Olivier Jeunen
10:40 - 10:55Industry talk: Recommender Systems applied to Fashion Retail IndustryOVS
10:55 - 11:10Industry talk: AI as a tool for simplifying business processesEY
11:10 - 12:30Towards Possibility: Interdisciplinary Perspectives on Enhancing Recommender Systems
Beyond Accuracy
Irina Nalis and Julia Neidhardt
12:30 - 13:30Brunch (offered by EurAI)
13:30 - 15:30Enhancing Reproducibility in Recommender Systems: A Path Towards Scientific Integrity
and Effective Implementation
Antonio Ferrara and Claudio Pomo
from 15:30Closing

Social Events

Wednesday, October 9, 2024

Bari Old town tour at 18:00, then we will have an amazing welcome reception at Spazio Murat


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Thursday, October 10, 2024

We will have the social dinner at Villa de Grecis, at 20.00.


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Registration

Registration is closed due to sold out

To register, please fill in the following form Registration is closed (virtual too).

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 Bank Transfer. The receipt shall be attached to the registration form, so don’t forget to save it.

  • Bank Transfer details:
    • Holder: Le Nove Muse Associazione
    • IBAN: IT92H0306909606100000134892
    • BIC: BCITITMM
    • Transfer description/message: "<Surname> <Name> - RecSys 2024 Summer School Registration Fee"

Registration Fee

Early (before August 30)Mid (before September 30)On-SiteVirtual
Students€ 350€ 425€ 500€ 150
Academic€ 450€ 540€ 630€ 200
Industry€ 550€ 655€ 750€ 250

If the invoice recipient is a VAT holder, the registration fee will be subject to an additional 22% VAT.

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 summerschool2024@recsys.acm.org 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.

Venue

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

Location


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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.

Hotels

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.

Sponsors

logo EY logo OVS