Claudio Pomo

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

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. 🙏

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 👇)

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

📢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 sites.google.com/view/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 🥰

🚀 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 🌐 shorturl.at/a8Hqq @ACMRecSys #MultimodalAI

@craig_macdonald @Scite is a good option!

When will Google Scholar deploy some gen AI capabilities? Would really enhance finding citations that illustrate a point you want to make in a paper...

There is still plenty of opportunity to join the #RecSys2025 Challenge! Check out the details on their website: recsyschallenge.com/2025/

Slides and code here: github.com/sisinflab/Enha…

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! 🚀

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

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. 🚀🚀