Marco Polignano (0000-0002-3939-0136)

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Biography

Marco Polignano is a Professor Assistant at the Department of Computer Science, University of Bari Aldo Moro, Italy, in the SWAP (Semantic Web Access and Personalization) research group. He earned the Ph.D. in Computer Science and Mathematics in 2018, at the same university, with the thesis titled "An affect-aware computational model for supporting decision-making through recommender systems". He was program committee member and reviewer for many international conferences, local organizing committee for the Ai*iA 2017 and CLiC-it 2019 conferences and organizer of the Evalita 2018 challenge - ABSITA about the aspect-based sentiment analysis. Moreover, he organized the exUM workshop 2020-2021 at the User Model and Personalization international conference. His research interests include Recommender Systems, Natural Language Processing, Machine Learning and User Profiling.

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University of Bari Aldo Moro: Bari, IT

2020-12-29 to present | Professor Assistant (Computer Science)

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Marco Polignano

https://orcid.org/0000-0002-3939-0136

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Employment (1)

University of Bari Aldo Moro: Bari, IT

Education and qualifications (3)

Università degli Studi di Bari Aldo Moro: Bari, Puglia, IT

Università degli Studi di Bari Aldo Moro: Bari, Puglia, IT

Università degli Studi di Bari Aldo Moro: Bari, Puglia, IT

Professional activities (4)

Italian Association Artificial Intelligence: Rome, IT

IEEE: New York, NY, US

ACM International: Florissant, MO, US

Planetek Hellas (Greece): Athens, GR

Funding (1)

Semantic EO Data Web Alert and Retrieval Framework

Works (44)

Comparing Human Pose Estimation through deep learning approaches: An overview

EB-NeRD a large-scale dataset for news recommendation

11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24)

RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations

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

ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems

Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces

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

Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures

Accountable Knowledge-aware Recommender Systems

5th Workshop on Explainable User Models and Personalised Systems (ExUM)

HELENA: An intelligent digital assistant based on a Lifelong Health User Model

Preface to the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI)

A hybrid lexicon-based and neural approach for explainable polarity detection

Special Issue on Information Retrieval, Recommender Systems and Adaptive Systems

Comparing Transformer-based NER approaches for analysing textual medical diagnoses

Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors

Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images

HealthAssistantBot: A Personal Health Assistant for the Italian Language

Time of Your Hate: The Challenge of Time in Hate Speech Detection on Social Media

A comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention

Identification of Bot Accounts in Twitter Using 2D CNNs on User-generated Contents Notebook for PAN at CLEF 2019

Social Tags and Emotions as main Features for the Next Song to Play in Automatic Playlist Continuation

A semantic representation of EO data for image retrieval based on natural language queries

An emotion-driven approach for aspect-based opinion mining

Hansel: Italian hate speech detection through ensemble learning and deep neural networks

Overview of the EVALITA 2018 aspect-based sentiment analysis task (ABSITA)

Do you feel blue? Detection of negative feeling from social media

Empathic inclination from digital footprints

Empathic inclination from digital footprints

Learning inclination to empathy from social media footprints

Recommending Doctors and Health Facilities in the HealthNet Social Network

User's Social Media Profile as Predictor of Empathy

Affective aspects as uncertain variables in decisional processes

Affective aspects as uncertain variables in decisional processes

A Framework for Emotion-aware Recommender Systems supporting Decision Making

A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network

Recommender systems supporting decision making through analysis of user emotions and personality

Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality

The Infuence of User's Emotions in Recommender Systems for Decision Making Processes

The inuence of user's emotions in recommender systems for decision making processes

Towards a patient-centered medicine: the HealthNet Social Network

A comparison of lexicon-based approaches for sentiment analysis of microblog

A comparison of Lexicon-based approaches for Sentiment Analysis of microblog posts

Peer review (23 reviews for 15 publications/grants)