Contact Information

    Phone: + 39 080 596 3641



    Artificial Intelligence and Machine Learning

    Big Data Analytics

    Vito Walter Anelli

    Assistant Professor


    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)

    FC048: New Tool to Predict the Clinical Course and Renal Failure in Patients with Immunoglobulin a Nephropathy
    Nephrology Dialisys Transplantation

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

    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

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

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

    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

    Adversarial Learning for Recommendation
    Adversarial Machine Learning, Recommender SystemsAdvances in Information Retrieval -43rd European Conference on {IR} Research, {ECIR} 2021

    How to Put Users in Control of their Data in Federated Top-N Recommendation with Learning to Rank
    Proceedings of the 36th ACM SIGAPP Symposium On Applied Computing, SAC 2021, Gwangju, Korea (Virtual Event)

    Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders
    Adversarial Machine Learning, Recommender Systems, Deep LearningThe 1st Workshop on Dataset Curation and Security co-located with the 34th Conference on Neural InformationProcessing Systems (NeurIPS 2020), Vancouver, Canada (Virtual Event).

    Semantic Interpretation of Top-N Recommendations
    IEEE Transactions on Knowledge and Data Engineering

    Knowledge-enhanced Shilling Attacks for recommendation
    Shilling Attack, Recommender SystemThe 28th Italian Symposium on Advanced Database Systems (SEBD 2020), Villasimius (CA), Italy, June 21-24, 2020

    Towards Effective Device-Aware Federated Learning
    federated learning; aggregation; data distributionIn Proceedings of the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019)

    Recommender Systems Fairness Evaluation via Generalized Cross Entropy
    Recommender systems; fairness; metric; Generalized cross entropy;evaluationIn Proceedings of the 13th ACM RecSys Workshop on Recommendation in Multistakeholder Environments (RMSE@RecSys'19)

    Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization
    User Modeling and User-Adapted Interaction (UMUAI)

    Local Popularity and Time in top-N Recommendation
    41st European Conference on Information Retrieval (ECIR 2019)

    Moving from Item Rating to Features Relevance in Top-N Recommendation
    Proceedings of the 9th Italian Information Retrieval Workshop - IIR

    Feature factorization for top- n recommendation: From item rating to features relevance
    Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning

    On the role of time and sessions in diversifying recommendation results
    Proceedings of the 8th Italian Information Retrieval Workshop

    Etytree: A graphical and interactive etymology dictionary based on wiktionary
    Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017

    Querying deep web data sources as linked data
    Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, {WIMS} 2017, Amantea, Italy, June 19-22, 2017

    Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios
    Autoencoders, DBpedia, Deep Learning, Knowledge graphs, Linked Open Data, Recommender SystemsProceedings of the 2Nd Workshop on Deep Learning for Recommender Systems

    An analysis on Time- and Session-aware diversification in recommender systems
    to appearUMAP - 25th Conference on User Modeling, Adaptation and Personalization

    Linking geographical data: the case of Open Street Map
    24th Italian Symposium on Advanced Database Systems (SEBD 2016)

    Exposing Open Street Map in the Linked Data cloud
    Proceedings of the 29th International Conference on Industrial, Engineering & other Applications of Applied Intelligent Systems

    LOSM: a SPARQL endpoint to query Open Street Map
    The 14th International Semantic Web Conference - ISWC 2015 (Posters and Demo)