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…

  • Temporal Analysis of Session Clusters in Clickstream Data from a Price Comparison Platform

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    Ahmadou Wagne
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    Author: Luca Turin Supervisor: Julia Neidhardt, Co-Supervisor: Ahmadou Wagne Abstract Understanding user behaviour is essential for designing digital services, improving user experience, and optimising commercial outcomes. This thesis investigates how behaviour varies over time and across contexts on a major price comparison platform. Building on prior work that offered a static segmentation of sessions, it…

  • 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…