Claudio Pomo

Researcher @PolibaOfficial // nerd & music addicted

[Claudio Pomo @scne]

The preprint will be available very soon! 📄
Looking forward to presenting our work and connecting with everyone at #CIKM2025 in Seoul this November. See you there! 🇰🇷
#RecommenderSystems #DeepLearning #MachineLearning

[Claudio Pomo @scne]

Thrilled to announce our paper, "Do Recommender Systems Really Leverage Multimodal Content?", has been accepted at #CIKM2025! 🔥
We investigate if the gains in Multimodal RecSys come from true understanding or just bigger models. A deep dive into what really works.
(Thread 👇)

[Claudio Pomo @scne]

A huge thanks also to @LucioNarducci and @TommasoDiNoia for their trust in our vision and for their crucial support during the final refinement phase. This work was a true team effort. 🙏

[Claudio Pomo @scne]

Wow, honored to be named an Excellent PC Member at @SIGIRConf!
Glad my obsessive... I mean detailed... reviewing style paid off. 🤓✨
Huge thanks to the chairs for the recognition and congrats to all the other reviewers!
#SIGIR #SIGIR2025 #Award #BestReviewer

[Claudio Pomo @scne]

📢Great news for #RecSys researchers! 📢
The @DaQuaMRec workshop CfP deadline is now **July 17**. One more week to submit your paper! Don't miss out.🚀

CC @dmalitesta @JannachDietmar @ale_melchiorre @Shahnawazgrewal @yubink_cs @JulianMcauley

https://t.co/tfufUxaEao

[DaQuaMRec@RecSys2025 @DaQuaMRec]

🚨 [Deadline Extension] CfP - #DaQuaMRec2025 #RecSys2025 @ACMRecSys 🚨
📢 New Submission Deadline: July 17, 2025 (EXTENDED & FIRM)

🗓️ We've decided to extend the submission deadline by 1 week!

👉 Submit via EasyChair (https://t.co/JrgnlounAJ)

[DaQuaMRec@RecSys2025 @DaQuaMRec]

Bad news from #RecSys2025 @ACMRecSys? 🥲

You still have time to submit your work to #DaQuaMRec 🚀 (**July 10, 2025**)

Many topics in #multimodal #recommendation, such as #bias, #fairness, #missing #noisy data, modalities #misalignment, evaluation of data #quality, and more 🥰

[DaQuaMRec@RecSys2025 @DaQuaMRec]

🚀 CFP Alert!
The Call for Papers for the 1st Workshop on Data Quality-Aware Multimodal Recommendation at #RecSys2025 is now online!

🎯 Focus: Data quality & bias in multimodal recommender systems
📅 Deadline: July 10, 2025
🌐 https://t.co/DFFoYULaJT

@ACMRecSys #MultimodalAI

[Claudio Pomo @scne]

@craig_macdonald @Scite is a good option!

[ACM RecSys @ACMRecSys]

There is still plenty of opportunity to join the #RecSys2025 Challenge!
Check out the details on their website:
https://t.co/tnRpAoyWAb

[Claudio Pomo @scne]

Slides and code here:

https://t.co/2ux54jmPd6

[Claudio Pomo @scne]

Super thrilled to share that @ntonellotto, @sciueferrara and I just wrapped up our tutorial at @ecir2025! 🎉

Topic? Reproducibility & Replicability in RecSys+IR. It was fantastic to be part of the conference! #reproducibility #replicability #ecir2025

[Claudio Pomo @scne]

Huge thanks to all the attendees for the engaging and fruitful discussion! 🙏 Your questions and insights were fantastic and really pushed the conversation forward. Let's keep striving for more reproducible and replicable research in RS & IR! 🚀

[Alberto Carlo Maria Mancino @alberto_mancino]

The data preprocessing phase in recommender systems can be long and tedious.
With 🧩DataRec, that’s no longer the case!

“DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems” has been accepted for publication at SIGIR 2025. 🚀🚀