Address

    Plesso Salvatore - Room 420

    Contact Information

    Phone: +39 080 5963078

    Email: claudio.pomo@poliba.it


    Teaching

    Artificial Intelligence and Machine Learning

    Big Data Analytics

    Claudio Pomo

    Assistant Professor

    Publications

    GeCo: Towards effective GAN-based fashion compatibility modeling and retrieval
    Information Sciences

    DOI: 10.1016/j.ins.2026.123630

    Large-scale Benchmarks for Multimodal Recommendation with Ducho
    Expert Systems With Applications

    DOI: 10.2139/ssrn.5349267

    Toward Effective Fashion Item Compatibility Modelling
    14th Italian Information Retrieval Workshop (IIR 2024)

    DOI: 10.2139/ssrn.5360287

    Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
    34th ACM International Conference on Information and Knowledge Management

    DOI: 10.1145/3746252.3761398

    Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
    19th ACM Conference on Recommender Systems

    DOI: 10.1145/3705328.3748040

    A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
    Proceedings of the 18th ACM Conference on Recommender Systems (RecSys 2024)

    DOI: 10.1145/3640457.3688070

    DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
    The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval

    DOI:

    A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders
    Journal of Intelligent Information Systems

    DOI: 10.1007/s10844-023-00830-z

    Irrelevant Explanations: a logical formalization and a case study
    CEUR Workshop Proceedings

    DOI: 10.1097/01.hj.0000550401.28013.e7

    Ducho 2.0: Towards a More Up-to-Date Feature Extraction and Processing Framework for Multimodal Recommendation
    Proceedings of the ACM Web Conference 2024

    DOI: 10.1145/3589335.3651440

    Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
    The 31st ACM International Conference on Multimedia

    DOI: 10.1007/978-3-030-99739-7_10

    Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems
    The 2nd Edition of EvalRS: a Rounded Evzaluation of Recommender Systems (KDD 2023)

    DOI: 10.1007/978-3-031-22192-7_4

    An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework
    Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

    DOI: 10.1145/3563359.3597411

    Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
    The 17th ACM Conference on Recommender Systems

    DOI: 10.1145/3563359.3597411

    Auditing Consumer-and Producer-Fairness in Graph Collaborative Filtering
    Advances in Information Retrieval 45th European Conference on Information Retrieval

    DOI: 10.1007/978-3-031-28244-7_3

    Conversational recommendation: Theoretical model and complexity analysis
    Information Sciences

    DOI: 10.1016/j.ins.2022.07.169

    Auditing fairness under unawareness through counterfactual reasoning
    Fairness; Discrimination; Counterfactual reasoning; Proxy features; Information Processing & Management

    DOI: 10.1016/j.ipm.2022.103224

    Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
    Workshop Deep Learning for Search and Recommendation

    DOI: 10.1145/3460231.3475944

    How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering
    MORS 2022: The Second Workshop on Multi-Objective Recommender Systems

    DOI: 10.1145/3460231.3475944

    Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
    Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 22)

    DOI: 10.1145/3503252.3531292

    V-Elliot: Speeding up Visual Recommendation via a GPU-powered Data Input Pipeline
    NVIDIA GTC 2022

    DOI:

    Semantic interpretability of latent factors for recommendation
    10th Italian Information Retrieval Workshop, Padova, Italy, 2019

    DOI: ceur-ws.org/Vol-2441/

    On the Need for a Body of Knowledge on Recommender Systems
    Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM RecSys 2021, Amsterdam, 2021

    DOI: ceur-ws.org/Vol-2960/

    Adherence and Constancy in LIME-RS Explanations for Recommendation
    Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM RecSys 2021, Amsterdam, 2021

    DOI: ceur-ws.org/Vol-2960/

    Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications
    RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

    DOI: 10.1145/3460231.3473326

    V-Elliot: Design, Evaluate and Tune Visual Recommender Systems
    RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

    DOI: 10.1145/3460231.3478881

    How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation
    11th Italian Information Retrieval Workshop 2021, Bari, Italy, 2021

    DOI: ceur-ws.org/Vol-2947/

    Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems
    Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia,, 2021

    DOI: 10.1007/978-3-030-79022-6_4

    Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization
    RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

    DOI: 10.1145/3460231.3475944

    Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
    The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 2021

    DOI: 10.1145/3404835.3463245

    Towards a Trustworthy Patient Home-Care thanks to an Edge-Node Infrastructure
    8th International Conference on Human-Centered Software Engineering - (HCSE 2020)

    DOI: 10.1007/978-3-030-64266-2_11

    GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration
    Proceedings of the IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2020)

    DOI: 10.1109/eais48028.2020.9122756

    On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them
    13th ACM Conference on Recommender Systems

    DOI: 10.1145/3298689.3347010