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.
Lectures
| Lecture title | Speaker(s) | Duration | |
|---|---|---|---|
| L1 | Best Practices for Offline Evaluation | Lien Michiels | 80 min. |
| L2 | Bias and Fairness in Recommendation | Mirko Marras | 80 min. |
| L3 | Creative and Innovative Approaches to Auditing Recommender Systems | Catherine Baker and Debbie Ging | 60 min. |
| L4 | Considering Temporal Aspects in Recommender Systems | Veronika Bogina | 60 min. |
| L5 | Context-Aware Recommender Systems: Foundations and Future Perspectives | Moshe Unger | 60 min. |
| L6 | Conversational Recommender Systems and Recent Trends Driven by Large Language Models | Wanling Cai, Li Chen, and Lei Li | 90 min. |
| L7 | Enhancing Reproducibility in Recommender Systems: A Path Towards Scientific Integrity and Effective Implementation | Antonio Ferrara and Claudio Pomo | 120 min. |
| L8 | Fantastic Reviews and How to Write Them | Christine Bauer and Olivier Jeunen | 80 min. |
| L9 | Foresight and Speculative Design for Recommender Systems | Freyja van den Boom | 60 min. |
| L10 | From Netnews to Ethics: A Historical Overview of Recommender Systems | Alan Said | 80 min. |
| L11 | Graph Neural Networks for Recommender Systems | Aonghus Lawlor | 80 min. |
| L12 | Human-Centered Design and Evaluation of Conversational Recommender Systems | Wanling Cai | 80 min. |
| L13 | Large Language Models in Recommender Systems | Marco Polignano | 150 min. |
| L14 | Multimodal Deep Learning for Recommendation | Daniele Malitesta | 80 min. |
| L15 | Music Information Retrieval and its Application in Music Recommender Systems | Lorenzo Porcaro | 60 min. |
| L16 | Offline Recommender Systems Evaluation: Towards a Holistic Understanding of Recommendation Performance | Vito Walter Anelli, Nicola Ferro, and Maurizio Ferrari Dacrema | 150 min. |
| L17 | Recent Advances in Deep Generative Models for Recommender Systems: A Hands-On Lecture | Yashar Deldjoo, Zhankui He, and Anton Korikov | 90 min. |
| L18 | Recommenders and Digital Economics | Annelien Smets | 60 min. |
| L19 | Semantics and Content-Based Recommendations | Marco de Gemmis | 80 min. |
| L20 | Towards Possibility: Interdisciplinary Perspectives on Enhancing Recommender Systems Beyond Accuracy | Irina Nalis and Julia Neidhardt | 60 min. |
| L21 | Transformers for Recommender Systems | Aleksandr V. Petrov and Craig Macdonald | 150 min. |
Program
Tuesday, October 8, 2024
| Time | Lecture / Event | Speaker(s) |
|---|---|---|
| 8:30 - 9:15 | Registration | |
| 9:15 - 10:00 | Welcome Break | |
| 10:00 - 10:15 | Opening | |
| 10:15 - 10:45 | Talk by ACM | |
| 10:45 - 11:45 | From Netnews to Ethics: A Historical Overview of Recommender Systems | Alan Said |
| 11:45 - 13:00 | Graph Neural Networks for Recommender Systems | Aonghus Lawlor |
| 13:00 - 14:00 | Lunch | |
| 14:00 - 16:00 | Offline Recommender Systems Evaluation: Towards a Holistic Understanding of Recommendation Performance | Vito Walter Anelli, Nicola Ferro, and Maurizio Ferrari Dacrema |
| 16:00 - 16:30 | Break | |
| 16:30 - 17:50 | Best Practices for Offline Evaluation | Lien Michiels |
Wednesday, October 9, 2024
| Time | Lecture / Event | Speaker(s) |
|---|---|---|
| 9:00 - 10:20 | Semantics and Content-Based Recommendations | Marco de Gemmis |
| 10:20 - 10:50 | Break | |
| 10:50 - 12:20 | Large Language Models in Recommender Systems | Marco Polignano |
| 12:20 - 13:20 | Lunch | |
| 13:20 - 15:00 | Recent Advances in Deep Generative Models for Recommender Systems: A Hands-On Lecture | Yashar Deldjoo, Zhankui He, and Anton Korikov |
| 15:00 - 15:30 | Break | |
| 15:30 - 16:50 | Multimodal Deep Learning for Recommendation | Daniele Malitesta |
| from 18:00 | Social Event |
Thursday, October 10, 2024
| Time | Lecture / Event | Speaker(s) |
|---|---|---|
| 9:30 - 10:50 | Bias and Fairness in Recommendation | Mirko Marras |
| 10:50 - 11:20 | Break | |
| 11:20 - 13:20 | Transformers for Recommender Systems | Aleksandr V. Petrov and Craig Macdonald |
| 13:20 - 14:20 | Lunch | |
| 14:20 - 15:40 | Conversational Recommender Systems and Recent Trends Driven by LLMs (Part 1) | Wanling Cai, Li Chen, and Lei Li |
| 15:40 - 16:10 | Break | |
| 16:10 - 17:20 | Conversational Recommender Systems and Recent Trends Driven by LLMs (Part 2) | Wanling Cai, Li Chen, and Lei Li |
| from 19:00 | Social Dinner |
Friday, October 11, 2024
| Time | Lecture / Event | Speaker(s) |
|---|---|---|
| 9:30 - 10:30 | Recommenders and Digital Economics | Anneline Smets |
| 10:30 - 11:00 | Break | |
| 11:00 - 12:00 | Creative and Innovative Approaches to Auditing Recommender Systems | Catherine Baker and Debbie Ging |
| 12:00 - 13:00 | Foresight and Speculative Design for Recommender Systems | Freyja van den Boom |
| 13:00 - 14:10 | Lunch | |
| 14:10 - 15:10 | Music Information Retrieval and its Application in Music Recommender Systems | Lorenzo Porcaro |
| 15:10 - 16:10 | Context-Aware Recommender Systems: Foundations and Future Perspectives | Moshe Unger |
| 16:10 - 16:40 | Break | |
| 16:40 - 17:40 | Considering Temporal Aspects in Recommender Systems | Veronika Bogina |
Saturday, October 12, 2024
| Time | Lecture / Event | Speaker(s) |
|---|---|---|
| 9:40 - 10:40 | Fantastic Reviews and How to Write Them | Christine Bauer and Olivier Jeunen |
| 10:40 - 11:10 | Industry/Sponsor | TBD |
| 11:10 - 12:30 | Towards Possibility: Interdisciplinary Perspectives on Enhancing Recommender Systems Beyond Accuracy | Irina Nalis and Julia Neidhardt |
| 12:30 - 13:30 | Brunch | |
| 13:30 - 15:30 | Enhancing Reproducibility in Recommender Systems: A Path Towards Scientific Integrity and Effective Implementation | Antonio Ferrara and Claudio Pomo |
| from 15:30 | Closing |
Registration
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 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-Site | Virtual | |
|---|---|---|---|---|
| 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
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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