Tag: RecommenderSystems
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Survey Paper Just Accepted at ACM TORS
We are pleased to share that our survey paper, “Conversational Recommender Systems Using Generative Models (Gen-CRS): A Literature Review,” has been accepted for publication in ACM Transactions on Recommender Systems (TORS). The paper provides a comprehensive review of research on Generative Conversational Recommender Systems (Gen-CRS). As large language models and other generative technologies increasingly influence…
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RecSys Summer School 2024
📢Highlights from the 2024 RecSys Summer School in Bari, Italy! 🌍From October 8 to 12, the 2024 RecSys Summer School took place as a pre-program of this year’s ACM RecSys Conference. Co-funded by SIGCHI via its conference development fund, the school gathered leading experts to explore the latest developments in recommender systems. One of the…
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Publications @ RecSys 2024
🌟 Proud moment for our lab! 🌟 Ahmadou Wagne, a PhD student at our lab, recently presented a poster at #RecSys2024 on “What to compare? Towards understanding user sessions on price comparison platforms,” co-authored with Julia Neidhardt (TU Wien). The research sheds light on the diverse behaviors of users on price comparison platforms, identifying six distinct session…
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Doctoral Symposium @ ACM RecSys 2024
We are pleased to share that Thomas Kolb was accepted to the Doctoral Symposium at ACM RecSys 2024. Thomas presented his ongoing research on cross-domain recommender systems, particularly focusing on large language models (LLMs) and fairness aspects in recommendations. Congratulations, Thomas, on this important achievement and for contributing valuable insights to the field! Hashtag#RecSys2024 Hashtag#DoctoralSymposium…
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RecSys Workshop 2024: Exploring AI Collaboration🤝
The RecSys Workshop held at TU Wien on September 9th and 10th, 2024, brought together leading minds in the field of recommender systems to explore the evolving collaboration between humans and AI. Organized by the Christian Doppler Lab for Recommender Systems, this event aimed to delve into the complexities and opportunities of AI-human collaboration in…