Explore tweets tagged as #GenRecSys
πΈπ I am literally *proud* to announce that our book *Recommendation with #Generative Models* is now available online! A great collaboration with brilliant minds, covering everything from fundamentals to more advanced #GenRecSys models and new application areas:
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regret to inform you that people have been cooking on the genrecsys space, and i am scared
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ππ§΅Are you enjoying ACM RecSys 2024? Well, book your tickets for the #ROEGen2024 workshop, the main workshop on #Risks, #Oppertunitis, #Evaluation of #GenRecSys with several #advanced topics presented by keynote speakers from #Google, #DeepMind, and #Meta as well as academia:
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6/6 Ch 6 and 7. These chapters study the challenges in #evaluating #GenRecSys, considering #complex outputs, #personalization, and #open_ended tasks. They highlight the need for new metrics while addressing #societal_harms such as #misinformation, #manipulation, and #.
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Ch 3. Studies the application of #GenRecSys in traditional ID-based settings, which rely solely on *user-item interactions.* It discusses model regularization, sequence generation, and various generative paradigms, including #VAEs, #AR, #GANs, #diffusion models, and more.
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"One Coffee a Day Keeps Doctors Away!" Starting Beautiful Sunday in Bari and looking forward @ACMRecSys in exatly one month! Do not miss all the great workshops including #ROEGEN if you are interested in topics around #GenRecSys #LLM and #Harm, #Evaluation of these sytems!
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"Recent Advances in DGMs for #Recommender Systems: A Hands-On Lecture" will be presented shortly at @ACMRecSys Summer School, Bari, Italy. This afternoon at 13:00 pm (Italian time). Presenters: @ZhankuiHe @AntonKorikov @yashardel
#DeepGenerativeModel #LLMs #GenRecSys
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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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π§΅ I am pleased to announce that our proposed tutorial "Recommendation with #Generative Models (Gen-RecSys)" has been accepted to #WSDM2025, Hannover, Germany.π Link to our book (#GenRecSys): https://t.co/PuPpiUXeqV Link to our survey at #kdd2024: https://t.co/udy1WOx7on
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We have an almost *FULLY* packed workshop at #ROEGEn2024 at #recsys2024. Just concluded first session by @mekstrand0859 on "trustworthy #GenRecSys". Now @CraigBoutilier from @Google talking about #alignment of these systems! @ACMRecSys
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π¨ Preparing to present our tutorial at #ECAI2024 on *LLMs + RecSys*. I'll be discussing "Trustworthy RecLLMs," the emerging #Social and #Ethical #risks and potential #harms linked to #LLMs and #GenRecSys Link: https://t.co/rX3rLl6CVV Slides will be made available. #recsys
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going to the genrecsys space is like checking in on the most sublime & fucked up farm co-op in the universe
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Second, We propose a holistic βWH-evaluationβ framework (inspired by HELM) that guides the evaluation process. Then, via several case studies, we show the framework could be used to assess #GenRecSys beyond surface-level ItemID accuracy.
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2/6 - Ch. 2: "Foundations" to #GenRecSys - Ch. 3 to 5: "System Design" - #IDBased Models (Ch. 3) - #LLMs (Ch. 4) - #Multimodal Models (Ch. 5) - Ch. 6 to 5: "Evaluation and Risks/Harms" - #Evaluation (Ch. 6) - #Social and #Ethical #Risks (Ch. 7)
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π’π¨ Call for Contributions! #CallForPapers π
Deadline: Open now to July 1, 2025 I am extremely pleased to announce our brand-new new special issue with such an incredible team at #ACM_TORS focused on "Generative AI for Recommender Systems" (#GenAI #RecSys #GenRecSys) Save
π¨ Call for Contributions! π¨ #CallForPapers Our #ACM_TORS special issue on Generative AI for Recommender Systems (#GenAI #RecSys) is now open for submissions! π
Deadline: July 1, 2025 Be part of shaping the future of #GenAI and #Recsys. Details: https://t.co/lTQFC3N8zA
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π’New #ACM_TORS #CfP for a special issue in generative models for #recsys (1 July, 2025). Plus, the deadline for the user interaction design for human-centred recommender systems is extended. #LLMs #GenerativeAI #RecommenderSystems #ACM
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πΈπ Listen to this verynice #podcast created by @rohanrajput1 creating an effectice summary of our book "Recommendation with Generative Models." I really enjoyed the two-way QA between the man and woman to teach the topics we covered in the book! https://t.co/I10HLVnxkd
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