Fairness and Explainability of Recommender Systems
@FATE_RecSys
Algorithmic Fairness and Biases in RecSys, Explainability in RecSys, Causal and Counterfactual, Transparency in RecSys, Responsible RecSys for Social Good
Was dir gefallen könnte
Here is a list of contributions I made to @SIGIRConf conducted in collaboration with great colleagues and collaborators in industries (#Amazon, and #DeepMind). Two Long Papers. Pretty interesting works on the Holistic Evaluation of Generative and Large language models in #IR and…
📢🚨 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…
🚨 Call for Contributions! 🚨 #CallForPapers Our #ACM_TORS special issue on Generative AI for Recommender Systems (#GenAI #RecSys) is now open for submissions! 📅 Deadline: July 1, 2025 Be part of shaping the future of #GenAI and #Recsys. Details: dl.acm.org/pb-assets/stat…
👇🧵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:…
📢 Deadline Extended to Sep 5 (AOE)! After receiving many papers! Working on #LLMs, #GenAI? If your paper did not make it to the #LBR track at @ACMRecSys, do not miss #ROEGEN. We have a senior line-up of speakers and an excellent expecting topic! 👉 roegen-recsys2024.github.io
📚 I am deeply pleased to announce the speaker lineup for #ROEGEN24, the 1st workshop on "Generative Recommender Systems" @ACMRecSys🎉🎉 (1) M. Chen (Principal research scientist at Google Deepmind, USA): "LLMs for Recommendations: A Hybrid Approach" #LLMs #RecSys #GenerativeAI
Honoured to be a part of this chapter. Let us know what you think and if we have missed any references! Happy to discuss about evaluation of GenIR systems🤩
On arXiv now is a draft chapter on "Generative Information Retrieval Evaluation", examining both GenIR evaluation and using generative for evaluation. Love to hear from you all of references we missed. Co-authored by @Marwah_k @claclarke @NegarEmpr arxiv.org/abs/2404.08137
🎉I am pleased to share that we will be presenting a #tutorial for #ECAI2024 "Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons & Challenges". 🗓️ 19-24 Oct 2024 📍 Santiago de Compostela 🔗 shorturl.at/msxTX #AI #Ethics #RecSys #LLM
📘 New Research Alert📊 "A Review of Modern #RecommenderSystems Using Generative Models (Gen-RecSys)" is online. link: arxiv.org/abs/2404.00579 An important milestone in generative information-seeking research. #recsys #generative #llm #evaluation #harm #foundationmodel
🔍 Seeking the latest on *Gen-RecSys* research, beyond just LLMs? 🚀 If so, we have exciting news for you! Stay tuned for an upcoming 2024 survey scheduled for release next week: 📊 #GenRecSys #LLM #MMLLM #foundationmodels #risks #harms #evaluation @SIGIRConf @ACMRecSys
🪅NOW LIVE!🪅 Registration for FAccT 2024 in Rio de Janeiro, Brazil is online! Early Bird rates til April 29! 🐣🌷 🚀cvent.me/xBrvwq Thank you to our registration chairs @YuexingHao and Sonia Teixeira
Two weeks remain to submit your contributions on #AlgorithmicFairness within #Europe's societal framework @EWAFWorkshop 📅 Submission deadline: March 15, 2024 Location: Germany (July 1-3) @i3mainz Organized by: M. Cerrato, A. Coronel, and @CorinnaHertweck and J. Alvarez
🚀 Delighted to join and support @EWAFWorkshop in fostering dialogue on #AlgorithmicFairness within Europe's unique legal and societal framework. 📅 Submission deadline: March 15, 2024 🎓 Acceptance Notifications: April 26, 2024 📍EWAF: July 1-3,2024 2024.ewaf.org/call-for-papers
🚀FAccT's 2024 Call for Tutorials is now online! facctconference.org/2024/cft Deadline March 15 AoE Led by our Tutorials Chairs, @Jenny_L_Davis @andrewthesmart & @heloisacsp
🚀FAccT's 2024 Call for Tutorials is now online! facctconference.org/2024/cft Deadline March 15 AoE Led by our Tutorials Chairs, @Jenny_L_Davis @andrewthesmart & @heloisacsp !
🎉 Excited to share that our paper "A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems" with @naghiaei and @yashardel has been accepted to ACM Transaction on Recommender Systems (@ACM_TORS) #RecSys @ACMRecSys #ResponsibleAI
Did you know? The "Anywhere on Earth" deadline convention came from IEEE (see: en.wikipedia.org/wiki/Anywhere_…). It's the home stretch, folks! SIGIR full papers are due Jan 25 AoE time (UTC -12). Y'all got this. (*•̀ᴗ•́*)و ̑̑
📖Check out this comprehensive literature review on #Fairness in #RecommenderSystems published with @SpringerNature in @UmuaiJ, covering key approaches, challenges, and opportunities for building fair recommendation systems. #RecSys #FairAI #survey link.springer.com/article/10.100…
link.springer.com
Fairness in recommender systems: research landscape and future directions
User Modeling and User-Adapted Interaction - Recommender systems can strongly influence which information we see online, e.g., on social media, and thus impact our beliefs, decisions, and actions....
"Fairness in Recommender Systems: Research Landscape and Future Directions" a brand new survey by @yashardel et al. on a timely and important topic is out. #fairness #recsys
🎉Exciting news!🎉 I am thrilled to announce that our survey on the "fairness of recommender systems" has been accepted by the prestigious #UMUAI journal, the first journal of personalization. arxiv.org/abs/2205.11127 #fairness #personalization #recsys
Pleased to announce that the deadline for the SI on "Trustworthy Recommender Systems" @ACM_TORS has been extended. New deadline: Feb 28, 2023. Topics of interest: Adversarial #Robustness, #Privacy, #Interpretability and #Explanation, #Fairness @TheWebConf @SIGIRConf @ACMRecSys
Explainable Information Retrieval: A Survey 🔗: arxiv.org/abs/2211.02405
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