2nd 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

Call for Papers publication: April 21, 2026
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 - Universit=C3=A9 Paris-Saclay, France
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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