Top Tweets for #GenRecSys
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/pzHmnyI23l
2. Recommendation with Generative Models: https://t.co/aky5c5mhql
Second,
We propose a holistic “WH-evaluation” 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.
Then, we propose a holistic “WH-evaluation” 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.
📢🚨 Call for Contributions! #CallForPapers
📅 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 your papers, or extensions at SIGIR, KDD, UMAP on various topics around #LLMs #LLM4GOOD #Trust #Fairness #Personalization #Evaluation here.
#Perspective and #survey papers are also allowed and welcome in this SI.
Details: https://t.co/1ime0TfAmo
@DavenCheung berndludwig @LinaYao314 @AixinSG
📢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
🧵 I am pleased to announce that our proposed tutorial "Recommendation with #Generative Models (Gen-RecSys)" has been accepted to #WSDM2025, Hannover, Germany.🎉
Link to our book (#GenRecSys): https://t.co/PuPpiUXeqV
Link to our survey at #kdd2024: https://t.co/udy1WOx7on
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
👇🧵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:
https://t.co/NtOBAD5Nhr
"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
🌸📖 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:
https://t.co/aky5c5mhql
- Ch. 1: "Motivation & Benefits of Gen-RecSys"
- Ch. 2: "Foundations" (for educational purposes)
- Ch. 3: "ID-based/Collaborative Models" (AR, GANs, VAEs, Diffusion, Flor-based)
- Ch. 4: "LLMs" (seq-to-seq, encoder-only, conversational)
- Ch. 5: "Multimodal Models" (DALL-E, Stable Diffusion)
- Ch. 6: "Evaluation" (impact, performance metrics, LLM eval)
- Ch. 7: "Social & Ethical Risks" (new challenges, risks, social, ethical)
#AI #RecommenderSystems #GenerativeModels #LLMs #Foundationmodels #evaluation #risks
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 #.
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.
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)
"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!
Less than ONE week left to the deadline of the 1st Workshop on #Risks, #Opportunities, and #Evaluation of #Generative Models in Recommender Systems.
🗓️ ROEGEN@RECSYS'24
📍 Bari, Italy
Link: https://t.co/qyDymGjRSe
📑 Submission Deadline: Aug 30, 2024
#GenRecsys #LLMs, #VLM
🗓️ ROEGEN@RECSYS'24
📍 Bari, Italy
Pleased to announce The 1st Workshop on #Risks, #Opportunities, and #Evaluation of #Generative Models in Recommender Systems.
Link: https://t.co/HNP1nVCOIG
📑 Submission Deadline: Aug 30, 2024
#GenRecsys #LLMs, #VLM #foundationmodels.
@amazon @AmazonScience @madiator Now we have the final and important part of the presenration by @SilviaMilano1 and @Dr_Atoosa on #societical and #ethical risks of #GenRecSys. Join us!
@amazon @AmazonScience @madiator Whole set of intersting approaches with/for #GenRecSys are introduced by @madiator!
@amazon @AmazonScience It is time for #evaluation by @madiator. The first question is why evaluatinh #GenRecSys is more challenging than non-generative models if it is? If you want to know join us!
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