Pasquale Lops

Papers

Total Citations

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About

Pasquale Lops is a leading researcher in the fields of recommender systems, human-computer interaction, and social media analysis. His work focuses on bridging the gap between user behavior and intelligent system design, with a particular emphasis on non-verbal communication and user feedback. Lops’s most influential paper, "Recognizing users feedback from non-verbal communicative acts in conversational recommender systems" (2017), has garnered 29 citations, establishing a foundation for understanding how subtle, non-verbal cues can enhance recommendation accuracy in conversational AI. He has also made significant contributions to detecting automated accounts, or bots, on social media; his 2019 study on "Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents" (6 citations) introduces a novel deep learning approach to combat misinformation and scams. More recently, Lops has explored the intersection of robotics and tourism, as seen in his 2020 work "Towards a Social Robot as Interface for Tourism Recommendations" (4 citations), which envisions socially aware robots as intuitive guides. Through these diverse yet interconnected efforts, Lops advances the understanding of how systems can interpret human signals—whether from gestures, text, or social media—to deliver more personalized and trustworthy interactions.