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Gold Sponsor

OVS

OVS Innovazione e Sostenibilità Srl

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OVS is Italy’s leading apparel brand for men, women, and kids, with over 2000 stores, more than 8000 employees and a market share of 9,6%.OVS operates with a business model typical of vertically-integrated retailer managing the entire value chain - from design to manufacturing and commercialization of the products and it is progressively evolving its business model into a “phygital” marketplace, serving as a platform of vertical proprietary brands and guest brands. The Group is considered one of the most avant-garde players within the retail industry in the digital innovation and sustainability.It has been listed on the Italian stock exchange since March 2015. In 2023 it recorded net sales of 1,536 million euros and an EBITDA of 182,2 million euros.

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Connect with the following OVS contacts:

Raffaele Rizzi (raffaele.rizzi@ovs.it)

Massimo Olivetti (massimo.olivetti@ovs.it)

Anna Matteo (anna.matteo@ovs.it)

Patrizio Bergallo (patrizio.bergallo@ovs.it)

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Meet Up with OVS

IN PERSON: Thu, 17 Oct from 11:00 AM - 11:30 AM CEST in Sala Azzurra (Chamber of Commerce< 1st Floor)

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Add to Calendar America/Los_Angeles OVS OVS is hosting a Zoom Call: Zoom Call

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Add to Calendar America/Los_Angeles OVS OVS is hosting a Zoom Call: Zoom Call

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PDT

Join Sponsor Meetup

Add to Calendar America/Los_Angeles OVS OVS is hosting a Zoom Call: Zoom Call

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Downloadable Materials

News Break Article

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Conference Agenda

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8:00

CEST

Monday Registration and Badge Pick-Up

9:00

CEST

CARS: Workshop on Context-Aware Recommender Systems

9:00

CEST

CONSEQUENCES: The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems

9:00

CEST

Doctoral Symposium

9:00

CEST

FAccTRec 2024: The 7th Workshop on Responsible Recommendation

9:00

CEST

MuRS2024: 2nd Music Recommender Systems Workshop

9:00

CEST

RecSys Challenge

9:00

CEST

SURE 2024: Workshop on Strategic and Utility-aware Recommendation

9:00

CEST

Tutorial: Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare

9:00

CEST

Tutorial: Deep Recommendation using Graphs

9:00

CEST

VideoRecSys + LargeRecSys 2024

10:30

CEST

Monday AM Coffee Break

12:45

CEST

Monday Lunch

14:30

CEST

RecSys in HR 2024: Fourth Workshop on Recommender Systems for Human Resources

14:30

CEST

RecTemp: Temporal Reasoning in Recommendation Systems

14:30

CEST

Tutorial: A Tutorial on Feature Interpretation in Recommender Systems

14:30

CEST

Tutorial: Economics of Recommender Systems

16:00

CEST

Monday PM Coffee Break

19:00

CEST

Welcome Reception

8:00

CEST

Tuesday Posters

8:00

CEST

Tuesday Registration and Badge Pick-Up

9:00

CEST

RecSys Welcome and Opening

9:30

CEST

Keynote: Mark Riedl

10:15

CEST

Session 1: Large Language Models 1

11:00

CEST

Google Sponsor Meet Up

11:00

CEST

Huawei Sponsor Meet Up

11:00

CEST

Tuesday AM Break

12:00

CEST

Session 2: Bias and Fairness 1

13:15

CEST

Tuesday Lunch Break (on own)

14:30

CEST

Session 3: Bias and Fairness 2

15:15

CEST

Session 4: Collaborative Filtering

16:25

CEST

Huawei Sponsor Meet Up

16:25

CEST

IBM Sponsor Meet Up

16:25

CEST

Tuesday PM Break

17:20

CEST

Session 5: Cross-domain and Cross-modal Learning

8:00

CEST

Wednesday Posters

8:00

CEST

Wednesday Registration and Badge Pick-Up

8:30

CEST

Session 6: Multi-task Learning

9:30

CEST

Session 7: Cold Start

10:25

CEST

Session 8: Sequential Recommendation 1

11:05

CEST

Amazon Science Sponsor Meet Up

11:05

CEST

Netflix Sponsor Meet Up

11:05

CEST

Wednesday AM Break

12:00

CEST

Session 9: Sequential Recommendation 2

13:10

CEST

Wednesday Lunch Break (On Own)

14:30

CEST

Keynote: Michael I. Jordan

15:15

CEST

Session 10: Graph Learning

16:20

CEST

Google Sponsor Meet Up

16:20

CEST

Wednesday PM Break

17:20

CEST

Session 11: Optimisation and Evaluation 1

20:00

CEST

Social Event

8:00

CEST

Thursday Posters

8:00

CEST

Thursday Registration and Badge Pick-Up

8:00

CEST

Women in RecSys Breakfast

9:00

CEST

Keynote: Mounia Lalmas

9:45

CEST

Session 12: Optimisation and Evaluation 2

10:35

CEST

Session 13: Robust RecSys 1

10:55

CEST

PopRox Meeting (PRIVATE)

10:55

CEST

Thursday AM Break

11:00

CEST

Booking.com Sponsor Meet Up

11:00

CEST

OVS Sponsor Meet Up

12:00

CEST

Session 14: Robust RecSys 2

12:30

CEST

Session 15: Off-policy Learning

13:15

CEST

Thursday Lunch Break (On Own)

14:30

CEST

Session 16: Large Language Models 2

16:20

CEST

Thursday PM Break

17:10

CEST

Session 17: Women in RecSys

18:10

CEST

Closing

21:00

CEST

Erasmus Orchestra Concert

8:00

CEST

Friday Registration and Badge Pick-Up

9:00

CEST

HealthRecSys: 6th ACM RecSys Workshop on Health Recommender Systems

9:00

CEST

INRA: 12th International Workshop on News Recommendation and Analytics

9:00

CEST

INTROSPECTIVES: Reflections on Recommender Systems Past, Present, and Future

9:00

CEST

IntRS 2024: 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

9:00

CEST

KaRS: Sixth Knowledge-aware and Conversational Recommender Systems Workshop

9:00

CEST

NORMalize: The Second Workshop on Normative Design and Evaluation of Recommender Systems

9:00

CEST

ROEGEN: The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation

9:00

CEST

RecSoGood 2024: First International Workshop on Recommender Systems for Sustainability and Social Good

9:00

CEST

RecTour: Workshop on Recommenders in Tourism

9:00

CEST

Tutorial: Conducting User Experiments in Recommender Systems

10:30

CEST

Friday AM Coffee Break

11:00

CEST

Tutorial: Conducting Recommender Systems User Studies Using POPROX

12:30

CEST

Friday Lunch

14:15

CEST

AltRecSys: A Workshop on Alternative, Unexpected, and Critical Work on Recommendation

14:15

CEST

EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models

14:15

CEST

RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems

15:45

CEST

Friday PM Coffee Break

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