Yashar Deldjoo

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 116

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Publications

Yashar Deldjoo
FairEvalLLM. A Comprehensive Framework for Benchmarking Fairness in Large Language Model Recommender Systems. CoRR (2024)
Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
CAPRI: Context-aware point-of-interest recommendation framework. Softw. Impacts 19 (2024)
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, Alessandro Difonzo, Dario Zanzonelli
Fairness in recommender systems: research landscape and future directions. User Model. User Adapt. Interact. 34 (1) (2024)
Yashar Deldjoo
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency. CoRR (2024)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. Trans. Recomm. Syst. 2 (3) (2024)
Leila Tavakoli, Giovanni Castiglia, Federica Calò, Yashar Deldjoo, Hamed Zamani, Johanne R. Trippas
Understanding Modality Preferences in Search Clarification. CoRR (2024)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare. CoRR (2024)
Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci
Interactive Question Answering Systems: Literature Review. ACM Comput. Surv. 56 (9) (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD (2024)
Yashar Deldjoo, Markus Schedl, Peter Knees
Content-driven music recommendation: Evolution, state of the art, and challenges. Comput. Sci. Rev. 51 (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR (2024)
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
A Review of Modern Fashion Recommender Systems. ACM Comput. Surv. 56 (4) (2024)
Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng, Jon Atle Gulla
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges. CoRR (2024)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. CoRR (2024)
Yashar Deldjoo, Tommaso Di Noia
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System. CoRR (2024)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. ECIR (1) (2023)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Carmelo Ardito, Eugenio Di Sciascio
Smart Electrical Grids Under the Lens of Adversarial Attacks. Ital-IA (2023)
Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl
Multiobjective Hyperparameter Optimization of Recommender Systems. Perspectives@RecSys (2023)
Enrique Amigó, Yashar Deldjoo, Stefano Mizzaro, Alejandro Bellogín
A unifying and general account of fairness measurement in recommender systems. Inf. Process. Manag. 60 (1) (2023)
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary, Giovanni Servedio
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids. CoRR (2023)
Giovanni Pellegrini, Vittorio Maria Faraco, Yashar Deldjoo
Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization - A Reproducibility Study. CoRR (2023)
Yashar Deldjoo
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts. CoRR (2023)
Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
Computational Versus Perceived Popularity Miscalibration in Recommender Systems. SIGIR (2023)
Dario Di Palma, Vito Walter Anelli, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo, Yashar Deldjoo, Tommaso Di Noia
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective. IIR (2023)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. ECAI Workshops (1) (2023)
Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework. CoRR (2023)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. CoRR (2023)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. RecSys (2022)
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid. CIKM (2022)
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, Alessandro Difonzo, Dario Zanzonelli
A Survey of Research on Fair Recommender Systems. CoRR (2022)
Giovanni Castiglia, Ayoub El Majjodi, Federica Calò, Yashar Deldjoo, Fedelucio Narducci, Alain Starke, Christoph Trattner
Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. KaRS@RecSys (2022)
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling. Expert Syst. Appl. 210 (2022)
Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. CoRR (2022)
Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci
Interactive Question Answering Systems: Literature Review. CoRR (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
PyCPFair: A framework for consumer and producer fairness in recommender systems. Softw. Impacts 13 (2022)
Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. CIKM (2022)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. MORS@RecSys (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. SIGIR (2022)
Hossein A. Rahmani, Yashar Deldjoo, Tommaso Di Noia
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems. Expert Syst. Appl. 205 (2022)
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. CoRR (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. CoRR (2022)
Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra
Leveraging Content-Style Item Representation for Visual Recommendation. ECIR (2) (2022)
Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. BIAS (2022)
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
A Review of Modern Fashion Recommender Systems. CoRR (2022)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. DL4SR@CIKM (2022)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
User-controlled federated matrix factorization for recommender systems. J. Intell. Inf. Syst. 58 (2) (2022)
Yashar Deldjoo, Alejandro Bellogín, Tommaso Di Noia
Explaining recommender systems fairness and accuracy through the lens of data characteristics. Inf. Process. Manag. 58 (5) (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
FedeRank: User Controlled Feedback with Federated Recommender Systems. ECIR (1) (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. SIGIR (2021)
Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani
Towards Multi-Modal Conversational Information Seeking. SIGIR (2021)
Jens Adamczak, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Peter Knees, Gerard Paul Leyson, Philipp Monreal
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary, Gianluca Sapienza
ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids. INTERACT (5) (2021)
Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary
Revisiting Security Threat on Smart Grids: Accurate and Interpretable Fault Location Prediction and Type Classification. ITASEC (2021)
Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Gaetano Pernisco, Vito Renò, Ettore Stella
Towards Improving Car Point-Cloud Tracking Via Detection Updates. IPMV (2021)
Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks. IIR (2021)
Alejandro Bellogín, Yashar Deldjoo
Simulations for novel problems in recommendation: analyzing misinformation and data characteristics. CoRR (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. CoRR (2021)
Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. FLAIRS Conference (2021)
Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. RecSys (2021)
Yashar Deldjoo, Markus Schedl, Peter Knees
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges. CoRR (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
Federated Recommender Systems with Learning to Rank. SEBD (2021)
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia
A flexible framework for evaluating user and item fairness in recommender systems. User Model. User Adapt. Interact. 31 (3) (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. CIKM (2021)
Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems. CVPR Workshops (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
How to put users in control of their data in federated top-N recommendation with learning to rank. SAC (2021)
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks. ACM Comput. Surv. 54 (2) (2021)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. RecSys (2020)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra, Giuseppe Acciani, Eugenio Di Sciascio
Knowledge-enhanced Shilling Attacks for Recommendation. SEBD (2020)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario. EAIS (2020)
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Adversarial Machine Learning in Recommender Systems (AML-RecSys). WSDM (2020)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
FedeRank: User Controlled Feedback with Federated Recommender Systems. CoRR (2020)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs. ESWC (2020)
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Adversarial Machine Learning in Recommender Systems: State of the art and Challenges. CoRR (2020)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
Prioritized Multi-Criteria Federated Learning. CoRR (2020)
Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. SIGIR (2020)
Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary
Interacting with Features: Visual Inspection of Black-box Fault Type Classification Systems in Electrical Grids. XAI.it@AI*IA (2020)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
Prioritized multi-criteria federated learning. Intelligenza Artificiale 14 (2) (2020)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. CoRR (2020)
Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
Recommender Systems Leveraging Multimedia Content. ACM Comput. Surv. 53 (5) (2020)
Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. CoRR (2020)
Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. IntRS@RecSys (2019)
Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi
Movie genome: alleviating new item cold start in movie recommendation. User Model. User Adapt. Interact. 29 (2) (2019)
Yashar Deldjoo, Markus Schedl
Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset. CBMI (2019)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
Towards Effective Device-Aware Federated Learning. CoRR (2019)
Jens Adamczak, Gerard Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, Philipp Monreal
Session-Based Hotel Recommendations: Challenges and Future Directions. CoRR (2019)
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
Towards Effective Device-Aware Federated Learning. AI*IA (2019)
Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal
RecSys challenge 2019: session-based hotel recommendations. RecSys (2019)
Yashar Deldjoo, Markus Schedl, Mehdi Elahi
Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. CBMI (2019)
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Assessing the Impact of a User-Item Collaborative Attack on Class of Users. CoRR (2019)
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín Kouki, Tommaso Di Noia
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. RMSE@RecSys (2019)
Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. CoRR (2019)
Yashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen
The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. MediaEval (2019)
Hossein A. Rahmani, Yashar Deldjoo, Markus Schedl
A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata. MediaEval (2019)
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Assessing the Impact of a User-Item Collaborative Attack on Class of Users. ImpactRS@RecSys (2019)
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. CoRR (2019)
Vahid Jalili, Matteo Matteucci, Jeremy Goecks, Yashar Deldjoo, Stefano Ceri
Next Generation Indexing for Genomic Intervals. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
Content-Based Multimedia Recommendation Systems: Definition and Application Domains. IIR (2018)
Fatemeh Nazary, Yashar Deldjoo
Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem. MediaEval (2018)
Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Peter Knees
Multimedia recommender systems. RecSys (2018)
Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi
Audio-visual encoding of multimedia content for enhancing movie recommendations. RecSys (2018)

Yashar Deldjoo

Publication Activity (10 Years)

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