Yashar Deldjoo is a senior research scientist and a tenure-track Assistant Professor at the Polytechnic University of Bari, Italy. He serves as a senior program committee (SPC) for major conferences such as SIGIR, CIKM, ECAI, and WebConf, and is an associate editor for ACM Computing Surveys (CSUR). Yashar earned his Ph.D. with distinction in computer science from Politecnico di Milano (Italy) and an M.Sc. in electrical engineering from Chalmers University of Technology (Sweden). His research focuses on recommender systems, and integrating the main trustworthy AI principles such as fairness, adversarial robustness, and explainability into the recommendation systems.
His recent research focuses on exploring the benefits and risks of Generative AI and Large Language Models (LLMs) in recommender systems, with particular emphasis on their societal impact. Yashar is the main mastermind behind the forthcoming book "Recommendation with Generative Models," scheduled for publication in "Fn&tIR" in 2024-2025, building upon the GenRecSys-Survey, presented as tutorial at KDD'24. Additionally, he has been the driving force for major contributions to multi-modal recommender systems, including fashion, textiles, video, and music recommendations, and has contributed chapters to the Recommender Systems Handbook (2021) by F. Ricci, L. Rokach, B. Shapira, the best book in the RecSys community.
In 2023 and 2024, Yashar was recognized among the top 2% of research scientists worldwide according to Stanford University's Ioannidis database.
(1) We are thrilled to announce the release of a major manuscript, the result of extensive collaboration between industry and academia, titled "Recommendation with Generative Models", which is planned for publication in FntIR 2024. This work builds significantly upon our recent survey and tutorial presented at SIGKDD 2024 (Survey-GenRecSys-KDD2024).
(2) Listen to my discussion with Marcel Kurovski at Recspert, "PodCast: Generative Models for Recommender Systems with Yashar Deldjoo". We discuss the evolution of Gen-RecSys, DGMs, modeling paradigms, and scenarios as well as their evaluation, risks, and harms.
(3) We are organizing the "The 1st Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems", the main specialized workshop on LLMs and Generative Models AT ACM RecSys 2024 (ROEGEN@RecSys'24). Deadline for submission: August 30, 2024.
Yashar Deldjoo
deldjooy at acm.org
Services
Associate Editor/Distinguished Reviewer
- Distinguished Reviewer: ACM Transaction on Recommender Systems (ACM TORS) - The First Journal of Recommender Systems
- Associate Editor: ACM Computing Surveys (CSUR) - Ranked 3/111 Journal in CS, IF:16.6
- Guest Editor: ACM TORS, SI on "Trustworthy Recommender Systems", 2023-2024.
Senior PC or Conference Chair
- Conference Track Chair: LBR and Demo Track - ACM RecSys'24.
- Senior Program Committee (PC): CIKM'24 (short track), SIGIR'24 (full and short), ECAI'24, SIGIR'23 (full and short), the WebConf'23
- Area Chair: EWAF'23 and 24 (European workshop on Algorithmic Fairness)
Regular PC or Reviewer
- Regular PC for Major IR/RecSys conferences: SIGIR, RecSys, WebConf, ECAI, etc
- Reviewer for high-esteemed Journals: PAMI, UMUAI, ACM CSUR, IP&M, ACM TOIS, ACM TORS, etc
News
- April 2024: Looking for a recent survey on Generative Models, LLMs/FMS in Recommender Systems? Check this new survey ★"A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)"★.
- Jan'24-March'24: Looking for Benchmarking Research on Fairness and Biases of RecLLMs? check out these new works:
- Jan 2024: Our paper on "A Personalized Framework for Consumer and Producer Group Fairness Optimization" is accepted to ACM Transaction on Recommender Systems (TORS).
- Dec'23-Jan'24: Four literature reviews accepted on different areas of recommender systems and QA:
- "Fashion Recommender Systems" in ACM Computing Surveys (CSUR).
- "Interactive Question Answering" in ACM Computing Surveys (CSUR)
- "Content-driven Music Recommender Systems" in CS Review.
- "Fairness of Recommender Systems" in UMUAI, the First journal of personalization.
- Jan 2024: The printed version of our XI-ML@ECAI paper "ChatGPT-HealthPrompt. Harnessing the Power of XAI" is online.
- July 2023: Two papers on the applications of "LLMs" and "ChatGPT were accepted to COLLM@ECML-PKDD'23 (a single-author paper) and ECAI'23! Check out my publications.
- Feb-March 2023: Serving as senior PC for SIGIR'23, Area Chair at EWAF'23, and track chair at TheWebConf'23.
- April-Oct 2022: 5 technical papers accepted to the main track of (SIGIR'22, CIKM'22, RecSys'22, ECIR'22). Topics centered on adversarial robustness, fairness, multimedia recommendation, and content-centric music recommendation.
- Nov 2022-July 2023: Visiting period at UCSD, working in an ongoing endeavor in simulating recommender systems using synthetic and resampled data.
Surveys
- A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Yashar Deldjoo, Zhankui He, Julian McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
Under ReviewarXiv - Interactive Question Answering Systems: Literature Review Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci
ACM Computing Surveys (ACM CSUR - Accepted) 2024PDF - Content-driven Music Recommendation: Evolution, State of the Art, and Challenges Yashar Deldjoo, Markus Schedl, Peter Knees
Computer Science Review (CS-Review) 2024PDF - A Review of Modern Fashion Recommender Systems
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian Mcauley, G. Pellegrini, A. Bellogin, T. Di Noia ACM Computing Surveys (ACM CSUR) 2023 PDF - Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin, Alessandro Diffonzo, Dario Zanzonelli
User Modeling and User-Adapted Interaction (UMUAI) 2023PDF | [Github-Repo]. - A Survey on Adversarial Recommender Systems: from Attack/Defense Strategies to Generative Adversarial Networks Yashar Deldjoo, Tommaso. Di Noia, Felice Antonio Merra
ACM Computing Surveys (ACM CSUR) 2022PDF - Recommender System Leveraging Multimedia Content Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
ACM Computing Surveys (ACM CSUR) 2021PDF - Current challenges and visions in music recommender systems research Markus Schedl, Hamed Zamani, Ching-Wei Chen,Yashar Deldjoo, Mehdi Elahi
International Journal of Multimedia Information Retrieval (IJMIR) 2018PDF Book Chapters
- Multimedia recommender systems: Algorithms and challenges
Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Yinwei Wei, Xiangnan He
Recommender Systems Handbook (RSHB-MM) 2023PDF - Adversarial recommender systems: Attack, defense, and advances Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Recommender Systems Handbook (RSHB-AdvML) 2023PDF Tutorials
- Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenge
L Zhang, P Liu, Yashar Deldjoo, ZY Gulla, J Atle
Accepted to ECAI'24 2024 arXiv - Pursuing Privacy in Recommender Systems:
The View of Users and Researchers from Regulations to Applications
Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo The 15th ACM Conference on Recommender Systems (RecSys'21) 2021 PDF | SLIDES - Adversarial Learning for Recommendation (AL4Rec Tutorial) Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
The 43rd European Conference on Information Retrieval (ECIR'21) 2021 SLIDES - Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
The 14th ACM Conference of Recommender Systems (RecSys'20) 2020 PDF | SLIDES/Code - Adversarial Machine Learning in Recommender Systems (AML-RecSys) Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
The 13th ACM International Conf. on Web Search and Data Mining (WSDM'20) 2020 PDF SLIDES - Multi-media Recommender Systems Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Peter Knees
The 12th ACM Conference on Recommender Systems (RecSys'18) 2018 PDF Selected Technical papers
- A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
Yashar Deldjoo, Fatemeh Nazary
ROEGEN@RecSys 2024 arXiv - XAI4LLMs. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare Fatemeh Nazary, Yashar Deldjoo, Tommaso di Noia, Eugenio Di Sciacio
Under Review, 2024 arXiv - CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System Yashar Deldjoo, Tommaso di Noia
Under Review, 2024 arXiv - Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency Yashar Deldjoo
Under Review, 2024 arXiv - A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
ACM Transaction on Recommender Systems (TORS), 2024 PDF - ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT Fatemeh Nazary,Yashar Deldjoo, Tommaso di Noia
XI-ML@ECAI'23, 2023 PDF , Code - Fairness of ChatGPT and the Role Of Explainable-Guided Prompts Yashar Deldjoo
COLLM@ECML-PKDD'23, 2023 arXiv, Code - Computational Versus Perceived Popularity Miscalibration in Recommender Systems Oleg Lesota, G. Escobedo, Yashar Deldjoo, Bruce Ferwerda, S. Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23) 2023 PDF - A Unifying and General Account of Fairness Measurement in Recommender Systems Enrique Amigó, Yashar Deldjoo, Stefano Mizzaro, Alejandro Bellogín
Information Processing & Management (IP&M) 2023 PDF - Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, V. Paparella, C. Pomo
The 45th European Conference on Information Retrieval (ECIR'23) 2023 PDF - CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (FULL-SIGIR'22) 2022 PDF - Music4All-Onion. A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl
The 31th ACM International Conference on Information & Knowledge Management (CIKM'22) 2022 PDF - IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
The 31th ACM International Conference on Information & Knowledge Management (CIKM'22) 2022 PDF - Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation Hossein A Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
The 16th ACM Conference of Recommender Systems (RecSys'22) 2022 PDF - Leveraging Content-Style Item Representation for Visual Recommendation Yashar Deldjoo, Tommaso Di Noia, Danielle Malitesta, Felice Merra, Antonio
The 44th European Conference on Information Retrieval (ECIR'22) 2022 PDF - Visual Inspection of Fault Type and Zone Prediction in Electrical Grids using Interpretable Spectrogram-based CNN Modeling Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
Expert Systems with Applications (ESWA) 2022 PDF - The Role of Context Fusion on Accuracy, Beyond-Accuracy, and Fairness of Point-of-Interest Recommendation Systems Hossein A. Rahmani, Yashar Deldjoo, Tommaso Di Noia
Expert Systems with Applications (ESWA) 2022 PDF - User-controlled federated matrix factorization for recommender systems Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
Journal of Intelligent Information Systems (JIIS) 2022 PDF - Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary, Giovanni Servedio
The 4th Workshop on Adversarial Machine Learning (ADvML@KDD'22) 2022 PDF - Explaining Recommender Systems Fairness and Accuracy through the lens of Data Characteristics Yashar Deldjoo, Alejandro Bellogín, Tommaso Di Noia
Information Processing & Management (IP&M) 2021 PDF - A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Danielle Malitesta, Felice Merra, Antonio
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (FULL-SIGIR'21) 2021 PDF - Towards Multi-Modal Conversational Information Seeking Yashar Deldjoo Johanne R. Trippas, Hamed Zamani
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (Perspective-SIGIR'21) 2021 PDF - A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders🏆 Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
The 30th ACM International Conference on Information & Knowledge Management (CIKM'21) 2021 PDF (Runner-Up Paper) - Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality 🏆 Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
The 3rd Workshop on Adversarial Machine Learning (ADvML@KDD'21) 2021 PDF (IBM-Watson Award) - A Study on the Relative importance of Convolutional Neural Networks in Visually-aware Recommender Systems Yashar Deldjoo Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'21) 2021 PDF - FedeRank: User Controlled Feedback with Federated Recommender Systems Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
The 43th European Conference on Information Retrieval (ECIR'21) 2021 PDF - A Flexible Framework for Evaluating User and Item Fairness in Recommender Systems Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogin, Tommaso Di Noia
User Modeling and User-Adapted Interaction (UMUAI) 2021 PDF Session-based Hotel Recommendations Dataset 
As part of the ACM Recommender System Challenge 2019
Jens Adamczak, Yashar Deldjoo, Farshad B. Moghaddam, Peter Knees, Gerard P. Leyson, Philipp Monreal
ACM Transactions on Intelligent Systems and Technology (TIST) 2021
PDF
- MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
The 34th International Florida Artificial Intelligence Research Society Conference (FLAIRS'21) 2021 PDF - How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (FULL-SIGIR'20) 2020 PDF - Sasha: Semantic-aware shilling attacks on recommender systems exploiting knowledge graphs Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
European Semantic Web Conference (ESWC'20) 2020 PDF - Movie genome: alleviating new item cold start in movie recommendation Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai G. Constantin, Hamid Eghbal-Zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi
User Modeling and User-Adapted Interaction (UMUAI) 2019 PDF - Audio-visual encoding of multimedia content for enhancing movie recommendations Yashar Deldjoo, Mihai G. Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi
The 12th ACM Conference of Recommender Systems (RecSys'18) 2018 PDF - Exploring The Semantic Gap for Movie Recommendation Mehdi Elahi, Yashar Deldjoo, Farshad B. Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi
The 11th ACM Conference of Recommender Systems (RecSys'17) 2017 PDF Positions
- August 2022 - Now
Tenure track Assistant Professor (RtD-B) at Polytechnic University of Bari, Bari, Italy - August 2019 - July 2022
Assistant Professor (RtD-A) at Polytechnic University of Bari, Bari, Italy - April 2019 - July 2019
PostDoc researcher at Polytechnic University of Bari, Bari, Italy - Jan 2018 - Feb 2019
Research Assistant at University of Milano-Bicocca, Milano, Italy - 2008 - 2009
Carried out my Master's Thesis at the Multimedia Dept. of Ericsson Research, Stockholm, Sweden
Education
- Nov 2014 - July 2018: Polytechnic University of Milan, Milan, Italy. Ph.D. in Computer Science with a focous on Recommender Systems. Thesis title: "Video Recommendation Leveraging Multimeda Content".
- Sep 2008 - July 2010: Chalmers University of Technology, Gothenburg, Sweden. MS.c in Electrical Engineering. Thesis title carried out at Ericsson Research: "Wii-Remote Based Head-Tracking in 3D-Audio Rendering".
- Sep 2007 - July 2011: University of Gothenburg, Gothenburg, Sweden. B.A in English-Linguistics.
- Sep 2002 - July 2006: University of Guilan, Rasht, Iran. B.Sc in Electrical Engineering.
- XAI4LLMs. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare Fatemeh Nazary, Yashar Deldjoo, Tommaso di Noia, Eugenio Di Sciacio
- Pursuing Privacy in Recommender Systems:
- Adversarial recommender systems: Attack, defense, and advances Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
- Interactive Question Answering Systems: Literature Review Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci