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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 Joined October 2021
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Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

5 months ago

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…

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

8 months ago

📢🚨 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…

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Shuai Zhang @DavenCheung

8 months ago

📢🚨 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…

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

11 months ago

👇🧵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:…

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

a year ago

📢 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

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Enrico Palumbo @enricopalumbo91

a year ago

📢 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

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

a year ago

📚 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

Fairness and Explainability of Recommender Systems retweeted
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Negar Arabzadeh @NegarEmpr

a year ago

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🤩

IR_oldie Profile Picture

Mark Sanderson @IR_oldie

a year ago

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🤩

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

a year ago

🎉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

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

a year ago

📘 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

yashardel Profile Picture

Yashar Deldjoo @yashardel

a year ago

📘 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

Fairness and Explainability of Recommender Systems retweeted
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ACM FAccT @FAccTConference

a year ago

🪅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

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

2 years ago

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

yashardel Profile Picture

Yashar Deldjoo @yashardel

2 years ago

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

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Fairness and Explainability of Recommender Systems @FATE_RecSys

2 years ago

🚀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

FAccTConference Profile Picture

ACM FAccT @FAccTConference

2 years ago

🚀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

Fairness and Explainability of Recommender Systems retweeted
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Hossein A. (Saeed) Rahmani @srahmanidashti

2 years ago

🎉 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

Fairness and Explainability of Recommender Systems retweeted
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SIGIR 2025 @SIGIRConf

2 years ago

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 ̑̑

Fairness and Explainability of Recommender Systems retweeted
yashardel Profile Picture

Yashar Deldjoo @yashardel

2 years ago

📖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…

FATE_RecSys Profile Picture

Fairness and Explainability of Recommender Systems @FATE_RecSys

2 years ago

"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

yashardel Profile Picture

Yashar Deldjoo @yashardel

3 years ago

"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

Fairness and Explainability of Recommender Systems retweeted
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Yashar Deldjoo @yashardel

3 years ago

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

Fairness and Explainability of Recommender Systems retweeted
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arXiv @arXiv_cs_ir

3 years ago

Explainable Information Retrieval: A Survey 🔗: arxiv.org/abs/2211.02405

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