1st CfP - DaQuaMRec 2026: 2nd International Workshop on Data Quality-Aware Multimodal Recommendation

**Apologies for cross-posting**

DaQuaMRec: 2nd International Workshop on Data Quality-Aware Multimodal Re=
commendation
Held in conjunction with the 20th ACM Conference on Recommender Systems (=
RecSys 2026)

Full details are available online: https://sites.google.com/view/daquamre=
c2026/

Follow us on social media:
X: https://x.com/DaQuaMRec
Bluesky: https://bsky.app/profile/daquamrecws.bsky.social

MOTIVATION AND GOALS

Multimodal recommender systems are transforming the way we experience dig=
ital services, enabling smarter and richer recommendations in domains suc=
h as fashion, music, food, e-commerce, and digital media. By combining da=
ta from images, text, audio, video, and other heterogeneous signals, thes=
e systems can support richer user profiling and more accurate recommendat=
ions than traditional single-modality approaches.

However, multimodal recommender systems are highly sensitive to the quali=
ty of the data they rely on. Noisy inputs, missing modalities, duplicated=
 or weakly supervised data, misaligned information across modalities, and=
 embedded biases can significantly affect system performance, robustness,=
 explainability, and fairness.

DaQuaMRec, the 2nd International Workshop on Data Quality-Aware Multimoda=
l Recommendation, brings this foundational concern to the forefront. The =
workshop offers a dedicated venue to discuss how data quality shapes mult=
imodal recommendation pipelines, from data collection and preprocessing t=
o modeling, evaluation, and deployment. Its goal is to foster focused dis=
cussions and catalyze new research on understanding, evaluating, and impr=
oving data quality in multimodal recommendation settings.

IMPORTANT DATES

Paper submission deadline: July 20, 2026
Reviewer deadline: August 7, 2026
Author notification: August 14, 2026
Camera-ready version deadline: August 28, 2026
Workshop date: September 28, 2026

All deadlines are 11:59 PM AoE.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:

* Noisy multi-modal data
* Incomplete or missing multimodal data
* Bias in multimodal data
* Preference misalignment across modalities
* Fairness issues in multimodal recommendation
* Assessing multimodal data quality in recommendation

CONTRIBUTION FORMATS

DaQuaMRec welcomes submissions in the following categories:

Research Papers:
Long papers, up to 8 pages excluding references, should present original =
work that makes a clear and novel contribution and is positioned with res=
pect to the state of the art.
Short papers, up to 4 pages excluding references, may present early-stage=
 research, promising ideas, negative results, or thought-provoking perspe=
ctives that can stimulate discussion and future work.

Reproducibility and Resource Papers:
Long papers, up to 8 pages excluding references, should present substanti=
al contributions such as comprehensive tools, large-scale datasets, bench=
marks, or in-depth reproducibility analyses.
Short papers, up to 4 pages excluding references, may describe smaller-sc=
ale resources, focused tool descriptions, or preliminary reproducibility =
efforts of interest to the community.

Position Papers:
Position papers, up to 2 pages excluding references, are intended for sho=
rt, critical, or visionary contributions that highlight future directions=
, emerging challenges, or reflective perspectives on the field. They shou=
ld aim to spark discussion and inspire future research, even in the absen=
ce of experimental results.

SUBMISSION AND PUBLICATION

Submissions are open.

Submit your paper through EasyChair at:
https://easychair.org/my/conference?conf=3Drecsys2026workshops

Please make sure to select:
Second International Workshop on Data Quality-Aware Multimodal Recommenda=
tion

All submissions must be written in English, submitted as PDF files, and f=
ormatted using the CEUR-WS single-column conference format.

All submissions will undergo a double-blind peer review process. Review c=
riteria include relevance to the workshop, originality, significance of t=
he contribution, technical soundness, clarity of presentation, quality of=
 references, and reproducibility.

Authors are encouraged to share code and supplementary material through a=
n anonymous repository to support reproducibility. Submissions that are n=
ot properly anonymized, do not follow the required formatting, or disrega=
rd the submission guidelines may be rejected without review.

Accepted long and short papers will be published in the CEUR Workshop Pro=
ceedings and presented in the main workshop program. Position papers will=
 also be included in the proceedings, and a selection of them may be invi=
ted for oral presentation.

At least one author of each accepted paper must register for and attend t=
he workshop in order to present the work.

ORGANIZING COMMITTEE

Claudio Pomo - Politecnico di Bari, Italy
Daniele Malitesta - LUISS Guido Carli, Italy
Alberto Carlo Maria Mancino - Politecnico di Bari, Italy
Marta Moscati - JKU Linz and Albatross AI, Austria
Dietmar Jannach - University of Klagenfurt, Austria
Yubin Kim - Vody, Inc., USA
Aixin Sun - NTU Singapore, Singapore

CONTACT US

For any questions or inquiries, please contact us at:
[email protected]

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