Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi; Franca Garzotto (CHItaly, 2015)

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (EC-Web, 2015)

Application of connected dominating sets in wildfire detection based on wireless sensor networks. - Saman Tahouri; Reza Ebrahimi Atani; Amir Hassani Karbasi; Yashar Deldjoo (Int. J. Inf. Technol. Commun. Convergence, 2015)

Recommending Movies Based on Mise-en-Scene Design. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla (CHI Extended Abstracts, 2016)

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Farshad Bakhshandegan Moghaddam; Andrea Luigi Edoardo Caielli (EC-Web, 2016)

Using Visual Features and Latent Factors for Movie Recommendation. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi (CBRecSys@RecSys, 2016)

Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking? - Yashar Deldjoo; Shengping Zhang; Bahman Zanj; Paolo Cremonesi; Matteo Matteucci (CoRR, 2016)

A low-cost infrared-optical head tracking solution for virtual 3D audio environment using the Nintendo Wii-remote. - Yashar Deldjoo; Reza Ebrahimi Atani (Entertain. Comput., 2016)

Content-Based Video Recommendation System Based on Stylistic Visual Features. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla; Massimo Quadrana (J. Data Semant., 2016)

The effect of different video summarization models on the quality of video recommendation based on low-level visual features. - Yashar Deldjoo; Paolo Cremonesi; Markus Schedl; Massimo Quadrana (CBMI, 2017)

Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System. - Yashar Deldjoo; Cristina Frà; Massimo Valla; Paolo Cremonesi (IIR, 2017)

RecSys Challenge 2017: Offline and Online Evaluation. - Fabian Abel; Yashar Deldjoo; Mehdi Elahi; Daniel Kohlsdorf (RecSys, 2017)

Exploring the Semantic Gap for Movie Recommendations. - Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cereda; Paolo Cremonesi (RecSys, 2017)

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. - Yashar Deldjoo; Massimo Quadrana; Mehdi Elahi; Paolo Cremonesi (CoRR, 2017)

Content-Based Multimedia Recommendation Systems: Definition and Application Domains. - Yashar Deldjoo; Markus Schedl; Paolo Cremonesi; Gabriella Pasi (IIR, 2018)

The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content. - Yashar Deldjoo; Mihai Gabriel Constantin; Athanasios Dritsas; Bogdan Ionescu; Markus Schedl (MediaEval, 2018)

Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem. - Fatemeh Nazary; Yashar Deldjoo (MediaEval, 2018)

MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval. - Yashar Deldjoo; Mihai Gabriel Constantin; Bogdan Ionescu; Markus Schedl; Paolo Cremonesi (MMSys, 2018)

Audio-visual encoding of multimedia content for enhancing movie recommendations. - Yashar Deldjoo; Mihai Gabriel Constantin; Hamid Eghbal-Zadeh; Bogdan Ionescu; Markus Schedl; Paolo Cremonesi (RecSys, 2018)

Multimedia recommender systems. - Yashar Deldjoo; Markus Schedl; Balázs Hidasi; Peter Knees (RecSys, 2018)

Using visual features based on MPEG-7 and deep learning for movie recommendation. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (Int. J. Multim. Inf. Retr., 2018)

Current challenges and visions in music recommender systems research. - Markus Schedl; Hamed Zamani; Ching-Wei Chen; Yashar Deldjoo; Mehdi Elahi (Int. J. Multim. Inf. Retr., 2018)

Video recommendation by exploiting the multimedia content. - Yashar Deldjoo (2018)

Towards Effective Device-Aware Federated Learning. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001 (AI*IA, 2019)

Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset. - Yashar Deldjoo; Markus Schedl (CBMI, 2019)

Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. - Yashar Deldjoo; Markus Schedl; Mehdi Elahi (CBMI, 2019)

The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. - Yashar Deldjoo; Benny Kille; Markus Schedl; Andreas Lommatzsch; Jialie Shen 001 (MediaEval, 2019)

A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata. - Hossein A. Rahmani; Yashar Deldjoo; Markus Schedl (MediaEval, 2019)

Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. - Luca Luciano Costanzo; Yashar Deldjoo; Maurizio Ferrari Dacrema; Markus Schedl; Paolo Cremonesi (IntRS@RecSys, 2019)

Recommender Systems Fairness Evaluation via Generalized Cross Entropy. - Yashar Deldjoo; Vito Walter Anelli; Hamed Zamani; Alejandro Bellogín Kouki; Tommaso Di Noia (RMSE@RecSys, 2019)

Assessing the Impact of a User-Item Collaborative Attack on Class of Users. - Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (ImpactRS@RecSys, 2019)

RecSys challenge 2019: session-based hotel recommendations. - Peter Knees; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Jens Adamczak; Gerard Paul Leyson; Philipp Monreal (RecSys, 2019)

Session-Based Hotel Recommendations: Challenges and Future Directions. - Jens Adamczak; Gerard Paul Leyson; Peter Knees; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Julia Neidhardt; Wolfgang Wörndl; Philipp Monreal (CoRR, 2019)

Next Generation Indexing for Genomic Intervals. - Vahid Jalili; Matteo Matteucci; Jeremy Goecks; Yashar Deldjoo; Stefano Ceri (IEEE Trans. Knowl. Data Eng., 2019)

Movie genome: alleviating new item cold start in movie recommendation. - Yashar Deldjoo; Maurizio Ferrari Dacrema; Mihai Gabriel Constantin; Hamid Eghbal-zadeh; Stefano Cereda; Markus Schedl; Bogdan Ionescu; Paolo Cremonesi (User Model. User Adapt. Interact., 2019)

Interacting with Features: Visual Inspection of Black-box Fault Type Classification Systems in Electrical Grids. - Carmelo Ardito; Yashar Deldjoo; Eugenio Di Sciascio; Fatemeh Nazary (XAI.it@AI*IA, 2020)

Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Daniele Malitesta (EAIS, 2020)

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 (ESWC, 2020)

Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (RecSys, 2020)

Knowledge-enhanced Shilling Attacks for Recommendation. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra; Giuseppe Acciani; Eugenio Di Sciascio (SEBD, 2020)

How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. - Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Felice Antonio Merra (SIGIR, 2020)

Adversarial Machine Learning in Recommender Systems (AML-RecSys). - Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (WSDM, 2020)

Adversarial Machine Learning in Recommender Systems: State of the art and Challenges. - Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (CoRR, 2020)

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (CoRR, 2020)

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. - Vito Walter Anelli; Alejandro Bellogín; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (CoRR, 2020)

Prioritized multi-criteria federated learning. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001 (Intelligenza Artificiale, 2020)

A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (CIKM, 2021)

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 (CVPR Workshops, 2021)

FedeRank: User Controlled Feedback with Federated Recommender Systems. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (ECIR (1), 2021)

MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. - Vito Walter Anelli; Alejandro Bellogín; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (FLAIRS, 2021)

A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks. - Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Felice Antonio Merra (IIR, 2021)

ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids. - Carmelo Ardito; Yashar Deldjoo; Eugenio Di Sciascio; Fatemeh Nazary; Gianluca Sapienza (INTERACT (5), 2021)

Towards Improving Car Point-Cloud Tracking Via Detection Updates. - Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Gaetano Pernisco; Vito Renò; Ettore Stella (IPMV, 2021)

Revisiting Security Threat on Smart Grids: Accurate and Interpretable Fault Location Prediction and Type Classification. - Carmelo Ardito; Yashar Deldjoo; Eugenio Di Sciascio; Fatemeh Nazary (ITASEC, 2021)

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 001; Fedelucio Narducci; Claudio Pomo (RecSys, 2021)

How to put users in control of their data in federated top-N recommendation with learning to rank. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (SAC, 2021)

Federated Recommender Systems with Learning to Rank. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (SEBD, 2021)

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Daniele Malitesta; Felice Antonio Merra (SIGIR, 2021)

Towards Multi-Modal Conversational Information Seeking. - Yashar Deldjoo; Johanne R. Trippas; Hamed Zamani (SIGIR, 2021)

Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (CoRR, 2021)

Simulations for novel problems in recommendation: analyzing misinformation and data characteristics. - Alejandro Bellogín; Yashar Deldjoo (CoRR, 2021)

Recommender Systems Leveraging Multimedia Content. - Yashar Deldjoo; Markus Schedl; Paolo Cremonesi; Gabriella Pasi (ACM Comput. Surv., 2021)

Explaining recommender systems fairness and accuracy through the lens of data characteristics. - Yashar Deldjoo; Alejandro Bellogín; Tommaso Di Noia (Inf. Process. Manag., 2021)

Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019. - Jens Adamczak; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Peter Knees; Gerard Paul Leyson; Philipp Monreal (ACM Trans. Intell. Syst. Technol., 2021)

A flexible framework for evaluating user and item fairness in recommender systems. - Yashar Deldjoo; Vito Walter Anelli; Hamed Zamani; Alejandro Bellogín; Tommaso Di Noia (User Model. User Adapt. Interact., 2021)

The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. - Hossein A. Rahmani; Yashar Deldjoo; Ali Tourani; Mohammadmehdi Naghiaei (BIAS, 2022)

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Daniele Malitesta; Claudio Pomo (DL4SR@CIKM, 2022)

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 (CIKM, 2022)

Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. - Marta Moscati; Emilia Parada-Cabaleiro; Yashar Deldjoo; Eva Zangerle; Markus Schedl (CIKM, 2022)

Leveraging Content-Style Item Representation for Visual Recommendation. - Yashar Deldjoo; Tommaso Di Noia; Daniele Malitesta; Felice Antonio Merra (ECIR (2), 2022)

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Antonio Ferrara 001; Daniele Malitesta; Claudio Pomo (MORS@RecSys, 2022)

Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. - Giovanni Castiglia; Ayoub El Majjodi; Federica Calò; Yashar Deldjoo; Fedelucio Narducci; Alain Starke; Christoph Trattner (KaRS@RecSys, 2022)

Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. - Hossein A. Rahmani; Mohammadmehdi Naghiaei; Ali Tourani; Yashar Deldjoo (RecSys, 2022)

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. - Mohammadmehdi Naghiaei; Hossein A. Rahmani; Yashar Deldjoo (SIGIR, 2022)

A Survey of Research on Fair Recommender Systems. - Yashar Deldjoo; Dietmar Jannach; Alejandro Bellogín; Alessandro Difonzo; Dario Zanzonelli (CoRR, 2022)

A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks. - Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (ACM Comput. Surv., 2022)

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 Syst. Appl., 2022)

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 Syst. Appl., 2022)

User-controlled federated matrix factorization for recommender systems. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Antonio Ferrara 001; Fedelucio Narducci (J. Intell. Inf. Syst., 2022)

PyCPFair: A framework for consumer and producer fairness in recommender systems. - Mohammadmehdi Naghiaei; Hossein A. Rahmani; Yashar Deldjoo (Softw. Impacts, 2022)

Adversarial Recommender Systems: Attack, Defense, and Advances. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Felice Antonio Merra (Recommender Systems Handbook, 2022)

Multimedia Recommender Systems: Algorithms and Challenges. - Yashar Deldjoo; Markus Schedl; Balázs Hidasi; Yinwei Wei; Xiangnan He 001 (Recommender Systems Handbook, 2022)

Music4All-Onion. - Marta Moscati; Emilia Parada-Cabaleiro; Yashar Deldjoo; Eva Zangerle; Markus Schedl (Zenodo, 2022)

ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia (ECAI Workshops (1), 2023)

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. - Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Daniele Malitesta; Vincenzo Paparella; Claudio Pomo (ECIR (1), 2023)

Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective. - Dario Di Palma; Vito Walter Anelli; Daniele Malitesta; Vincenzo Paparella; Claudio Pomo; Yashar Deldjoo; Tommaso Di Noia (IIR, 2023)

Smart Electrical Grids Under the Lens of Adversarial Attacks. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia; Carmelo Ardito; Eugenio Di Sciascio (Ital-IA, 2023)

Fairness of ChatGPT and the Role of Explainable-Guided Prompts. - Yashar Deldjoo (PKDD/ECML Workshops (5), 2023)

Multiobjective Hyperparameter Optimization of Recommender Systems. - Marta Moscati; Yashar Deldjoo; Giulio Davide Carparelli; Markus Schedl (Perspectives@RecSys, 2023)

Computational Versus Perceived Popularity Miscalibration in Recommender Systems. - Oleg Lesota; Gustavo Escobedo; Yashar Deldjoo; Bruce Ferwerda; Simone Kopeinik; Elisabeth Lex; Navid Rekabsaz; Markus Schedl (SIGIR, 2023)

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 (CoRR, 2023)

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework. - Ali Tourani; Hossein A. Rahmani; Mohammadmehdi Naghiaei; Yashar Deldjoo (CoRR, 2023)

Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization - A Reproducibility Study. - Giovanni Pellegrini; Vittorio Maria Faraco; Yashar Deldjoo (CoRR, 2023)

A unifying and general account of fairness measurement in recommender systems. - Enrique Amigó; Yashar Deldjoo; Stefano Mizzaro; Alejandro Bellogín (Inf. Process. Manag., 2023)

Empowering Shilling Attacks with Katz and Exclusivity-based Relatedness. - Felice Antonio Merra; Vito Walter Anelli; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio (KaRS@RecSys, 2024)

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano (KDD, 2024)

Understanding Modality Preferences in Search Clarification. - Leila Tavakoli; Giovanni Castiglia; Federica Calò; Yashar Deldjoo; Hamed Zamani; Johanne R. Trippas (MMSR@CIKM, 2024)

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). - Yashar Deldjoo; Julian J. McAuley; Scott Sanner; Pablo Castells; Shuai Zhang 007; Enrico Palumbo (RecSys, 2024)

Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency. - Yashar Deldjoo (CoRR, 2024)

CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System. - Yashar Deldjoo; Tommaso Di Noia (CoRR, 2024)

Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges. - Lemei Zhang; Peng Liu 025; Yashar Deldjoo; Yong Zheng; Jon Atle Gulla (CoRR, 2024)

FairEvalLLM. A Comprehensive Framework for Benchmarking Fairness in Large Language Model Recommender Systems. - Yashar Deldjoo (CoRR, 2024)

XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio (CoRR, 2024)

Large Language Model Driven Recommendation. - Anton Korikov; Scott Sanner; Yashar Deldjoo; Zhankui He; Julian J. McAuley; Arnau Ramisa; René Vidal; Mahesh Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Multi-modal Generative Models in Recommendation System. - Arnau Ramisa; René Vidal; Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Mahesh Sathiamoorthy; Atoosa Kasrizadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Recommendation with Generative Models. - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasrizadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Content-driven music recommendation: Evolution, state of the art, and challenges. - Yashar Deldjoo; Markus Schedl; Peter Knees (Comput. Sci. Rev., 2024)

CAPRI: Context-aware point-of-interest recommendation framework. - Ali Tourani; Hossein A. Rahmani; Mohammadmehdi Naghiaei; Yashar Deldjoo (Softw. Impacts, 2024)

Fairness in recommender systems: research landscape and future directions. - Yashar Deldjoo; Dietmar Jannach; Alejandro Bellogín; Alessandro Difonzo; Dario Zanzonelli (User Model. User Adapt. Interact., 2024)

A Review of Modern Fashion Recommender Systems. - Yashar Deldjoo; Fatemeh Nazary; Arnau Ramisa; Julian J. McAuley; Giovanni Pellegrini; Alejandro Bellogín; Tommaso Di Noia (ACM Comput. Surv., 2024)

Interactive Question Answering Systems: Literature Review. - Giovanni Maria Biancofiore; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio; Fedelucio Narducci (ACM Comput. Surv., 2024)

A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. - Hossein A. Rahmani; Mohammadmehdi Naghiaei; Yashar Deldjoo (Trans. Recomm. Syst., 2024)

AirTOWN: A Privacy-Preserving Mobile App for Real-Time Pollution-Aware POI Suggestion. - Giuseppe Fasano; Yashar Deldjoo; Tommaso Di Noia (ECIR (5), 2025)

Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia (ECIR (4), 2025)

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders. - Ashmi Banerjee; Adithi Satish; Fitri Nur Aisyah; Wolfgang Wörndl; Yashar Deldjoo (SIGIR, 2025)

Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. - Yashar Deldjoo; Nikhil Mehta 002; Maheswaran Sathiamoorthy; Shuai Zhang 007; Pablo Castells; Julian J. McAuley (SIGIR, 2025)

GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. - Yashar Deldjoo; Scott Sanner; Enrico Palumbo; Hugues Bouchard; Shuai Zhang 007; Pablo Castells; Julian J. McAuley (SIGIR, 2025)

LLM4Good: The 1st Workshop on Sustainable and Trustworthy Large Language Models for Personalization. - Thomas Elmar Kolb; Ashmi Banerjee; Ahmadou Wagne; Julia Neidhardt; Yashar Deldjoo (UMAP (Adjunct Publication), 2025)

Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems. - Fatemeh Nazary; Yashar Deldjoo; Tommaso Di Noia; Eugenio Di Sciascio (UMAP (Adjunct Publication), 2025)

Tutorial on Recommendation with Generative Models (Gen-RecSys). - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano (WSDM, 2025)

Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion. - Giuseppe Fasano; Yashar Deldjoo; Tommaso Di Noia; Bianca Lau; Sina Adham-Khiabani; Eric Morris; Xia Liu; Ganga Chinna Rao Devarapu; Liam O'Faolain (WWW (Companion Volume), 2025)

Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks. - Ljubisa Bojic; Zorica A. Dodevska; Yashar Deldjoo; Nenad Pantelic (CoRR, 2025)

SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders. - Ashmi Banerjee; Adithi Satish; Fitri Nur Aisyah; Wolfgang Wörndl; Yashar Deldjoo (CoRR, 2025)

RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation. - Ali Tourani; Fatemeh Nazary; Yashar Deldjoo (CoRR, 2025)

Introduction to the Special Issue on Trustworthy Recommender Systems. - Markus Schedl; Yashar Deldjoo; Pablo Castells; Emine Yilmaz (Trans. Recomm. Syst., 2025)

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems. - Reza Yousefi Maragheh; Yashar Deldjoo (CoRR, 2025)

Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation. - Yashar Deldjoo; Nima Rafiee; Mahdyar Ravanbakhsh (CoRR, 2025)

ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation. - Fatemeh Nazary; Ali Tourani; Yashar Deldjoo; Tommaso Di Noia (CoRR, 2025)

Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism. - Ashmi Banerjee; Fitri Nur Aisyah; Adithi Satish; Wolfgang Wörndl; Yashar Deldjoo (CoRR, 2025)