Yashar Deldjoo

Maheswaran Sathiamoorthy

Atoosa Kasirzadeh

Silvia Milano

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Empowering Shilling Attacks with Katz and Exclusivity-based Relatedness.

[BibT_eX]

[DOI]

Proceedings of the Sixth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023

A unifying and general account of fairness measurement in recommender systems.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2023

Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization - A Reproducibility Study.

[BibT_eX]

[DOI]

Giovanni Pellegrini

Vittorio Maria Faraco

CoRR, 2023

Fairness of ChatGPT and the Role Of Explainable-Guided Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework.

[BibT_eX]

[DOI]

Ali Tourani

CoRR, 2023

Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids.

[BibT_eX]

[DOI]

CoRR, 2023

Computational Versus Perceived Popularity Miscalibration in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multiobjective Hyperparameter Optimization of Recommender Systems.

[BibT_eX]

[DOI]

Marta Moscati

Giulio Davide Carparelli

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Smart Electrical Grids Under the Lens of Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.

[BibT_eX]

[DOI]

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2023

ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT.

[BibT_eX]

[DOI]

Fatemeh Nazary

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Music4All-Onion.

[BibT_eX]

[DOI]

Marta Moscati

Emilia Parada-Cabaleiro

Eva Zangerle

Dataset, June, 2022

Multimedia Recommender Systems: Algorithms and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Recommender Systems Handbook, 2022

Adversarial Recommender Systems: Attack, Defense, and Advances.

[BibT_eX]

[DOI]

Proceedings of the Recommender Systems Handbook, 2022

PyCPFair: A framework for consumer and producer fairness in recommender systems.

[BibT_eX]

[DOI]

Softw. Impacts, 2022

User-controlled federated matrix factorization for recommender systems.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2022

The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2022

A Survey of Research on Fair Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Ali Tourani

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels.

[BibT_eX]

[DOI]

Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Leveraging Content-Style Item Representation for Visual Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2022

Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset.

[BibT_eX]

[DOI]

Marta Moscati

Emilia Parada-Cabaleiro

Eva Zangerle

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Ali Tourani

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

2021

A flexible framework for evaluating user and item fairness in recommender systems.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2021

Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019.

[BibT_eX]

[DOI]

Jens Adamczak

Peter Knees

Gerard Paul Leyson

Philipp Monreal

ACM Trans. Intell. Syst. Technol., 2021

Explaining recommender systems fairness and accuracy through the lens of data characteristics.

[BibT_eX]

[DOI]

Alejandro Bellogín

Inf. Process. Manag., 2021

Recommender Systems Leveraging Multimedia Content.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2021

Simulations for novel problems in recommendation: analyzing misinformation and data characteristics.

[BibT_eX]

[DOI]

Alejandro Bellogín

CoRR, 2021

Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Multi-Modal Conversational Information Seeking.

[BibT_eX]

[DOI]

Johanne R. Trippas

Hamed Zamani

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Federated Recommender Systems with Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

How to put users in control of their data in federated top-N recommendation with learning to rank.

[BibT_eX]

[DOI]

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Revisiting Security Threat on Smart Grids: Accurate and Interpretable Fault Location Prediction and Type Classification.

[BibT_eX]

[DOI]

Proceedings of the Italian Conference on Cybersecurity, 2021

Towards Improving Car Point-Cloud Tracking Via Detection Updates.

[BibT_eX]

[DOI]

Proceedings of the IPMV 2021: 3rd International Conference on Image Processing and Machine Vision, Hong Kong, SAR, China, May 22, 2021

ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids.

[BibT_eX]

[DOI]

Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021

A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks.

[BibT_eX]

[DOI]

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

FedeRank: User Controlled Feedback with Federated Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2021

A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Prioritized multi-criteria federated learning.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2020

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.

[BibT_eX]

[DOI]

CoRR, 2020

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Machine Learning in Recommender Systems: State of the art and Challenges.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Machine Learning in Recommender Systems (AML-RecSys).

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Knowledge-enhanced Shilling Attacks for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - 17th International Conference, 2020

Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Interacting with Features: Visual Inspection of Black-box Fault Type Classification Systems in Electrical Grids.

[BibT_eX]

[DOI]

Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020

2019

Movie genome: alleviating new item cold start in movie recommendation.

[BibT_eX]

[DOI]

Maurizio Ferrari Dacrema

User Model. User Adapt. Interact., 2019

Next Generation Indexing for Genomic Intervals.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Session-Based Hotel Recommendations: Challenges and Future Directions.

[BibT_eX]

[DOI]

Julia Neidhardt

Wolfgang Wörndl

Philipp Monreal

CoRR, 2019

RecSys challenge 2019: session-based hotel recommendations.

[BibT_eX]

[DOI]

Peter Knees

Jens Adamczak

Gerard Paul Leyson

Philipp Monreal

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Assessing the Impact of a User-Item Collaborative Attack on Class of Users.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

Recommender Systems Fairness Evaluation via Generalized Cross Entropy.

[BibT_eX]

[DOI]

Vito Walter Anelli

Hamed Zamani

Alejandro Bellogín Kouki

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features.

[BibT_eX]

[DOI]

Luca Luciano Costanzo

Maurizio Ferrari Dacrema

Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

Towards Effective Device-Aware Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018

Video recommendation by exploiting the multimedia content.

[BibT_eX]

[DOI]

PhD thesis, 2018

Current challenges and visions in music recommender systems research.

[BibT_eX]

[DOI]

Int. J. Multim. Inf. Retr., 2018

Using visual features based on MPEG-7 and deep learning for movie recommendation.

[BibT_eX]

[DOI]

Int. J. Multim. Inf. Retr., 2018

Multimedia recommender systems.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Audio-visual encoding of multimedia content for enhancing movie recommendations.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval.

[BibT_eX]

[DOI]

Bogdan Ionescu

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem.

[BibT_eX]

[DOI]

Fatemeh Nazary

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content.

[BibT_eX]

[DOI]

Athanasios Dritsas

Bogdan Ionescu

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Content-Based Multimedia Recommendation Systems: Definition and Application Domains.

[BibT_eX]

[DOI]

Proceedings of the 9th Italian Information Retrieval Workshop, 2018

2017

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation.

[BibT_eX]

[DOI]

CoRR, 2017

Exploring the Semantic Gap for Movie Recommendations.

[BibT_eX]

[DOI]

Leonardo Cella

Stefano Cereda

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

RecSys Challenge 2017: Offline and Online Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System.

[BibT_eX]

[DOI]

Proceedings of the 8th Italian Information Retrieval Workshop, 2017

The effect of different video summarization models on the quality of video recommendation based on low-level visual features.

[BibT_eX]

[DOI]

Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017

2016

Content-Based Video Recommendation System Based on Stylistic Visual Features.

[BibT_eX]

[DOI]

J. Data Semant., 2016

A low-cost infrared-optical head tracking solution for virtual 3D audio environment using the Nintendo Wii-remote.

[BibT_eX]

[DOI]

Reza Ebrahimi Atani

Entertain. Comput., 2016

Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?

[BibT_eX]

[DOI]

CoRR, 2016

Using Visual Features and Latent Factors for Movie Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?

[BibT_eX]

[DOI]