posted by organizer: albertomancino || 1073 views || tracked by 2 users: [display]

DaQuaMRec 2026 : DaQuaMRec 2026 : The 2nd International Workshop on Data Quality-Aware Multimodal Recommendation

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/daquamrec2026
 
When Sep 28, 2026 - Sep 28, 2026
Where Minneapolis, Minnesota, USA
Submission Deadline Jul 27, 2026
Notification Due Aug 14, 2026
Final Version Due Aug 28, 2026
Categories    recommender systems   multimodality   data quality
 

Call For Papers

DaQuaMRec welcomes submissions that fall in the following three categories:

* Research Papers: should present original work that has not been previously published, is not under review, and will not be submitted elsewhere during the review process.
- Long papers (up to 8 pages, excluding references) should make a clear and novel contribution and be positioned with respect 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 perspectives that can stimulate discussion and future work.

* Reproducibility and Resource Papers: this category includes submissions focused on tools, datasets, benchmarks, and reproducibility studies, including newly developed resources, significant updates to existing tools, or systematic evaluations of published work.
- Long papers (up to 8 pages, excluding references) should present substantial contributions, such as comprehensive tools, large-scale datasets, or in-depth reproducibility analyses.
- Short papers (up to 4 pages, excluding references) may describe smaller-scale resources, focused tool descriptions, or preliminary reproducibility efforts of interest to the community.
- Position Papers: are intended for short, critical, or visionary contributions that highlight future directions, emerging challenges, or reflective perspectives on the field. Position papers may be up to 2 pages, excluding references, and should aim to spark discussion and inspire future research, even in the absence of experimental results.

Related Resources

QoMEX 2027   19th International Conference on Quality of Multimedia Experience
IDA 2027   Intelligent Data Analysis
IEEE Big Data & Cross-AI MMAI 2026   6th Workshop on Multimodal AI
ICBAIE 2026   IEEE 2026 7th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering
IEEE Big Data & Cross-AI AAI-BD 2026   1st International Workshop on Agentic AI for Big Data
IEEE Big Data & Cross-AI AIMG 2026   4th Workshop on AI Music Generation & Competition
AIDL 2026   2026 3rd International Conference on Artificial Intelligence and Digital Libraries
Big Data 2026   2026 Global Conference on Process Safety and Big Data Registration Information
DATA 2026   15th International Conference on Data Science, Technology and Applications
ACM SAC - Data Streams Track 2026   ACM Symposium on Applied Computing (SAC) 2026 - Data Streams Track