Author: Ahmadou Wagne

  • Survey Paper Just Accepted at ACM TORS

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    Ahmadou Wagne
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    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…

  • New Job Opening as Software & DevOps Engineer

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    Ahmadou Wagne
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    We are seeking a Software & DevOps Engineer (20h/week) to join our team. In this role, you’ll support the development of an LLM-based conversational system that integrates diverse data sources and tools to enable natural language interaction. You’ll collaborate closely with researchers and industry partners on real-world applications, contributing to data integration, system implementation, and…

  • RecSys Summer School 2024

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    Ahmadou Wagne
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    📢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…

  • Publications @ RecSys 2024

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    Ahmadou Wagne
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    🌟 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…

  • Doctoral Symposium @ ACM RecSys 2024

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    Ahmadou Wagne
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    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…