| Vol-4188 urn:nbn:de:0074-4188-x Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# DaQuaMRec 2025
Data Quality-Aware Multimodal Recommendation 2025

## Proceedings of the DaQuaMRec 2025 Workshop on Data Quality-Aware Multimodal Recommendation
co-located with RecSys 2025

## Prague, Czech Republic, September 22, 2025 (13:30–17:30 GMT+2), Room D7.

Edited by

### Claudio Pomo 1
Dietmar Jannach 2
Yubin Kim 3
Daniele Malitesta 4
Alberto Carlo Maria Mancino 1
Julian McAuley 5
Alessandro Melchiorre 6,7
Shah Nawaz 7

1 Polytechnic University of Bari, Bari, Italy
2 University of Klagenfurt, Klagenfurt, Austria
3 Vody Inc., Los Angeles, USA
4 Université Paris-Saclay, CentraleSupélec, Inria, Gif-sur-Yvette, France
5 University of California, San Diego, La Jolla, USA
6 Criteo AI Lab, Paris, France
7 Institute of Computational Perception, Johannes Kepler University Linz, Linz, Austria

## Table of Contents

- Preface
  Summary: There were 6 papers submitted for peer review to this workshop. Out of these, 4 papers were accepted as peer-reviewed papers for this volume.
  1-7

### Peer-reviewed papers

- Comparative Analysis of Fashion Captioning for Multimodal Fashion Recommendation
  Gwendolyn Rippberger, Julia Neidhardt 8-19
- Data Quality Challenges in Multimodal Tourism Recommender Systems
  Zehui Wang, Wolfram Höpken, Dietmar Jannach 20-23
- Inside the Frame: A Plan for Audio-Visual Feature Analysis of Video Recommendations for Children
  Erasmo Purificato
  24-28
- Exploring the Impact of Data Quality on Agentic Recommender Systems
  Marco Valentini, Antonio Ferrara, Tommaso Di Noia 29-32

### Invited talks and keynotes

- Multimodality In Recommender Systems: Does It Help, and Should We Expect An Answer?
  Aixin Sun
  33-35
- Single-Branch Architectures for Recommendation
  Marta Moscati 36-39
- Sequential Recommenders and Multimodal Inputs: Mitigating Data Quality Issues in Industry-Scale Recommenders
  Jan Malte Lichtenberg, Matteo Ruffini 40-42

2026-03-06: submitted by Claudio Pomo, Daniele Malitesta and Alberto Carlo Maria Mancino
2026-03-26: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |