Search Results for author: Francesco Barile

Found 2 papers, 1 papers with code

A Co-design Study for Multi-Stakeholder Job Recommender System Explanations

1 code implementation11 Sep 2023 Roan Schellingerhout, Francesco Barile, Nava Tintarev

Recent legislation proposals have significantly increased the demand for eXplainable Artificial Intelligence (XAI) in many businesses, especially in so-called `high-risk' domains, such as recruitment.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

VideolandGPT: A User Study on a Conversational Recommender System

no code implementations7 Sep 2023 Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile

This paper investigates how large language models (LLMs) can enhance recommender systems, with a specific focus on Conversational Recommender Systems that leverage user preferences and personalised candidate selections from existing ranking models.

Fairness Recommendation Systems

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