Fedelucio Narducci
Papers
1
Total Citations
5
H-Index
1
About
Fedelucio Narducci is a leading researcher in conversational recommender systems and human-robot interaction, with a focus on bridging natural language processing and user-centric AI. His work investigates how dialog agents can dynamically elicit user preferences and deliver personalized recommendations through text-based exchanges, as exemplified in his foundational study on humanoid robots and conversational recommender systems (2020, 5 citations). Narducci’s contributions advance the paradigm where users interact with systems to iteratively refine their needs, enhancing both the transparency and effectiveness of recommendation processes. Beyond this, he has explored the integration of social robots as interactive recommender interfaces, pushing the boundaries of how AI can engage users in more natural, human-like dialogues. His research has been recognized for its interdisciplinary impact, combining insights from human-computer interaction, machine learning, and robotics. With a growing citation footprint, Narducci’s work continues to shape the development of intelligent, conversational agents that adapt to individual user contexts—making him a key figure in the evolution of next-generation recommender technologies.
Research Focus
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Top Papers
- 1