🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Meet Giulia Di Teodoro, our #postdoc at UniPisa, specializing in #IR and #xAI. She has a Master’s in Management Engineering and a #PhD in #DataScience focusing on #PrecisionMedicine from Sapienza University of Rome.

Delighted to share Generative Query Recommendations via LLMs. We show how LLMs enhance web search by improving queries in the absence of query logs. Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri. arxiv.org/pdf/2405.19749 Work done prior to joining Amazon.

Happy to share our publication in Bioinformatics on the role of historical mutations on HIV-1 therapies outcome, lnkd.in/dTBC64Jy co-authored by #MartinPirkl, Francesca Incardona, #IlariaVicenti, #AndersSönnerborg, #RolfKaiser, #LauraPalagi, #MaurizioZazzi, #ThomasLengauer

Promoting Women's Participation in Data Science: Giulia Di Teodoro and Ola Piktus shared their recent work and experiences as #women in research. Their stories highlight the need for greater sensitivity and a drive for progress by fostering the inclusion of a diverse group of people

Just wrapped up an amazing time at EURO2024 held in #Copenhagen, euro2024cph.dk ! Thanks to all for engaging conversations and sharing groundbreaking research. Grateful for the opportunity to present the work done with great co-authors lnkd.in/dV85UwJN

Curious about cutting-edge research? Interested to latest updates from our group? Check out our thesis topics, latest publications, and meet the team using our website! #RAG #RecSys #ML #Theory #IR rstless.it

🚀Calling ML on Graphs Enthusiasts! I'm co-organizing a Competition on Learning with Noisy Graph Labels at IJCNN 2025 with Farooq Wani, Maria Sofia Bucarelli, Andrea Giuseppe Di Francesco. Submissions are now open! sites.google.com/view/learning-… Submission Deadline: 10/02/2025

Don’t lose the opportunity to attend this workshop on AI & environment in Rome during the IJCNN25 conference! Fully organized by our team!

Excited to share our accepted competition paper at #IJCNN2025! "Learning with Noisy Graph Labels" We tackle the challenge of graph classification under label noise: Details: %20https%3A//sites.google.com/view/learning-with-noisy-graph-labe/home

📢 Our paper "A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling" has been accepted at #IJCNN2025! ✅ Done by Federico Siciliano , with Giulia Di Teodoro , Nicola Tonellotto , and Fabrizio Silvestri . 📍 See you in Rome! #RecommenderSystems

On July 4th from 11 to 12.30, room Belli Giulia Di Teodoro will present the work “A theoretical analysis of recommendation loss functions under negative sampling”. On July 2nd will present the Competition on Learning with Noisy Graph Labels from 10.30 to 12.30, room Manzoni. #IJCNN25

Andrea Giuseppe Di Francesco, Giulia Di Teodoro and Antonio Purificato presenting their work in the special session for Neural IR and RecSys at #IJCNN25, where Giulia Di Teodoro also served as session chair! Lots of insights on Recommender systems. Link to the papers in the comments! #IR #Research