Yashar Deldjoo
@yashardel
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Associate Professor @polibaofficial; #RecSys #GenerativeAI #FairML #TrustworthyAI #Risks #Harm #Evaluation
Bari, Apulia
Joined January 2017
🚨 Exciting Announcement 🚨 🎉 I am very proud to present our latest research, "The Future is #Agentic: Definitions, #Perspectives, and Open Challenges of #MultiAgent Recommender Systems," now available on arXiv! 📚 Link: https://t.co/WixscJg5hj Authors: Reza Yousefi Maragheh,
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New paper from @evpure @yashardel and others at @researchdeezer about using LLMs for music recommendation systems. Basically, describing exactly what my app Back2Back does! Even outlines the similar problems I’ve faced.
arxiv.org
Music Recommender Systems (MRS) have long relied on an information-retrieval framing, where progress is measured mainly through accuracy on retrieval-oriented subtasks. While effective, this...
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✨ Day 3 of @ACMRecSys 2025 is here. ✨ Starting the Third Day of #RecSys2025 main track is here with @XavierAmatriain #keynote on "Recommender Systems in the age of #AI". Thanks to organizers @MarkusSchedl, @mariabielik and @pavelkordik for organizing this nice event at a
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Day 2 of #RecSys25 man track is here with Prof. @jure (Lure Leskovec) #keynote on "Foundation models for structured data". Thanks to organizers @MarkusSchedl, @mariabielik and @pavelkordik for the great organization. #recsys #recsys2025 #foundationmodels
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The course is derived largely based on our two recent works on generative recommender systems (#GenRecSys) and Agentic Recommender Systems (#AgenticRecSys), links below: 1. The Future is Agentic: https://t.co/DAlb6BpZ3m 2. Recommendation with Generative Models:
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Are you interested to learn about modern topics in Recommender Systems? 🎓 We are delivering an advanced lecture at the #TUWien Summer School 📍 Vienna on two fast-moving fronts: ✨ #Generative Recommender Systems — LLM-augmented retrieval, multimodal generation, eval 🧭
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Recommendation with Generative Models @yashardel et al. present a comprehensive survey exploring how generative models enhance recommender systems through improved personalization, multimodal capabilities, and novel interaction paradigms. 📝 https://t.co/lBXX6Lhlmj
arxiv.org
Generative models are a class of AI models capable of creating new instances of data by learning and sampling from their statistical distributions. In recent years, these models have gained...
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Super happy about this work. Thank you for the mention! Please check this work our out if you are particularly interested in #fashion, open challannges there and where #GenAI and #AgenticAI fit in there. A colobration with #Zelando team in Berlin.
Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation @yashardel et al. introduce a pipeline that combines multimodal encoders with agentic LLM planners for fashion recommendations. 📝 https://t.co/ymZS97aoYh
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@AtenaNazary @TommasoDiNoia @DarioDiPalma_ @walteranelli @fedelucio Do you want to know about clarification question and diffusion models. #Foofle has an answer for you!
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@AtenaNazary @TommasoDiNoia @DarioDiPalma_ @walteranelli @fedelucio Multimodal training is another work now pressnted
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@AtenaNazary @TommasoDiNoia @DarioDiPalma_ @walteranelli @fedelucio LLm based use profile now started
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Dialogue dataset for conversational RecSys has now started ...
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@AtenaNazary @TommasoDiNoia @DarioDiPalma_ @walteranelli @fedelucio Two paradigms to conversatinal search/recsys Text based and embddings tokens (one token for each item) have each their own issues. Let us have several tokens for each item (capturing semantic of them). #tiger
#sigir25 #sigir2025
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@AtenaNazary @TommasoDiNoia @DarioDiPalma_ @walteranelli @fedelucio Are you interested in #semanticIDs ? Please come on an join our second keynote by @julianmcauely
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@AtenaNazary @TommasoDiNoia @DarioDiPalma_ @walteranelli @fedelucio #CALRAg is a very interesting next paper for layout design. The papers could be foundation GENNEXT homepage.
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@AtenaNazary @TommasoDiNoia Presentation #3 by @DarioDiPalma_ @walteranelli @fedelucio narducci @TommasoDiNoia
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