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Pasquale Lops

Full Professor

University of Bari Aldo Moro

Italy

Research Interests

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Professors in Italy Professors in Artificial Intelligence Artificial Intelligence professors in Italy

Articles (20)

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2026

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2026

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2026

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2024

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2023

Collaborators (7)

Giovanni Semeraro

University of Bari Aldo Moro

ITALY

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Alessandro Petruzzelli

University of Bari Aldo Moro

ITALY

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Gaetano Dibenedetto

Delft University of Technology

NETHERLANDS

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Alexander Felfernig

Professor

Graz University of Technology

AUSTRIA

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Martijn Willemsen

Eindhoven University of Technology

NETHERLANDS

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Peter Brusilovsky

Professor

University of Pittsburgh

UNITED STATES

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Marco Polignano

Professor Assistant

University of Bari Aldo Moro

ITALY

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ApplyKite TwinLearns as you apply

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Pasquale Lops

Research Interests

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Articles (20)

SAFELIFT: Safety-Aware Feedback for Ergonomic Lifting & Injury-Free Tasks

13th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’26)

Integrating Heterogeneous Knowledge for Enhanced Recommendation with Large Language Models

Binge Watch: Reproducible Multimodal Benchmark Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M

Simulating Diverse User Behavioral Stereotypes for Evaluating Agentic Conversational Recommenders

Beyond the Lookup: Simulating Realistic User Uncertainty for the Evaluation of Conversational Agentic Recommenders

Comparing Human Pose Estimation through deep learning approaches: An overview

Lift It Up Right: A Recommender System for Safer Lifting Postures

Fine-Tuning Large Multimodal Models for Fitness Action Quality Assessment

12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’25)

DistillRecDial: A Knowledge-Distilled Dataset Capturing User Diversity in Conversational Recommendation

Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques

See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm-2K, and DBbook with Multimodal Data

GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems

Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations

Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm

Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces

Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks

Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings

10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’23)

Collaborators (7)

Giovanni Semeraro

Alessandro Petruzzelli

Gaetano Dibenedetto

Alexander Felfernig

Martijn Willemsen

Peter Brusilovsky

Marco Polignano

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