Yashar Deldjoo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
15
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | LLM and Agents for Recommendation Systems (LARS). | Keerthi Gopalakrishnan, Qi Xu, Aysenur Inan, Zhigang Hua, Luyi Ma, Prabhat Agarwal, Shuang Yang, Shradha Sehgal, Hao Wang, Kai Zhao, Yashar Deldjoo, Rong Jin, Kamilia Ahmadi, Luke Simon |
| 2026 | SIGIR | TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations. | Ashmi Banerjee, Adithi Satish, Wolfgang Wrndl, Yashar Deldjoo |
| 2026 | SIGIR | Multi-Agentic Recommender Systems: Foundations, Perspectives, and Lessons from Large Scale Deployments in eCommerce. | Reza Yousefi Maragheh, Yashar Deldjoo, Benjamin Coleman, Jason Cho, Chi Wang |
| 2025 | CIKM | Trustworthy Knowledge Discovery and Data Mining (TrustKDD). | Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian |
| 2025 | ECIR | AirTOWN: A Privacy-Preserving Mobile App for Real-Time Pollution-Aware POI Suggestion. | Giuseppe Fasano, Yashar Deldjoo, Tommaso Di Noia |
| 2025 | ECIR | Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems. | Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia |
| 2025 | RecSys | A Tutorial on Recent Advances in Generative Conversational Recommender Systems. | Thomas Elmar Kolb, Ahmadou Wagne, Ashmi Banerjee, Fatemeh Nazary, Julia Neidhardt, Yashar Deldjoo, Tommaso Di Noia |
| 2025 | RecSys | Multi-Agentic Recommender Systems: Foundations, Design Patterns, and E-Commerce Applications - An Industrial Tutorial. | Reza Yousefi Maragheh, Yashar Deldjoo, Chi Wang, Jason Cho, Derek Cheng |
| 2025 | WWW | 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 |
| 2025 | SIGIR | SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders. | Ashmi Banerjee, Adithi Satish, Fitri Nur Aisyah, Wolfgang Wrndl, Yashar Deldjoo |
| 2025 | SIGIR | Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. | Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley |
| 2025 | SIGIR | 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, Pablo Castells, Julian J. McAuley |
| 2025 | WSDM | Tutorial on Recommendation with Generative Models (Gen-RecSys). | Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, Ren Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano |
| 2024 | KDD | A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). | Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, Ren Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano |
| 2024 | RecSys | 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, Enrico Palumbo |
| 2023 | ECAI | ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT. | Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia |
| 2023 | ECIR | Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo |
| 2023 | RecSys | Multiobjective Hyperparameter Optimization of Recommender Systems. | Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl |
| 2023 | SIGIR | Computational Versus Perceived Popularity Miscalibration in Recommender Systems. | Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl |
| 2022 | CIKM | Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo |
| 2022 | CIKM | 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 |
| 2022 | CIKM | Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. | Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl |
| 2022 | ECIR | Leveraging Content-Style Item Representation for Visual Recommendation. | Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra |
| 2022 | RecSys | How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo |
| 2022 | RecSys | Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. | Giovanni Castiglia, Ayoub El Majjodi, Federica Cal, Yashar Deldjoo, Fedelucio Narducci, Alain Starke, Christoph Trattner |
| 2022 | RecSys | Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. | Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo |
| 2022 | SIGIR | CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. | Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo |
| 2021 | CIKM | A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2021 | CVPR | 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 |
| 2021 | ECIR | FedeRank: User Controlled Feedback with Federated Recommender Systems. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci |
| 2021 | FlAIRS | MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. | Vito Walter Anelli, Alejandro Bellogn, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2021 | Interact | ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids. | Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary, Gianluca Sapienza |
| 2021 | RecSys | 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 |
| 2021 | SAC | 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, Fedelucio Narducci |
| 2021 | SIGIR | 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 |
| 2021 | SIGIR | Towards Multi-Modal Conversational Information Seeking. | Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani |
| 2020 | RecSys | Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2020 | SIGIR | How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. | Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra |
| 2020 | WSDM | Adversarial Machine Learning in Recommender Systems (AML-RecSys). | Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2019 | CBMI | Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset. | Yashar Deldjoo, Markus Schedl |
| 2019 | CBMI | Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. | Yashar Deldjoo, Markus Schedl, Mehdi Elahi |
| 2019 | RecSys | Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. | Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi |
| 2019 | RecSys | Recommender Systems Fairness Evaluation via Generalized Cross Entropy. | Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogn Kouki, Tommaso Di Noia |
| 2019 | RecSys | Assessing the Impact of a User-Item Collaborative Attack on Class of Users. | Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra |
| 2019 | RecSys | RecSys challenge 2019: session-based hotel recommendations. | Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal |
| 2018 | MMSys | MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval. | Yashar Deldjoo, Mihai Gabriel Constantin, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi |
| 2018 | RecSys | Audio-visual encoding of multimedia content for enhancing movie recommendations. | Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi |
| 2018 | RecSys | Multimedia recommender systems. | Yashar Deldjoo, Markus Schedl, Balzs Hidasi, Peter Knees |
| 2017 | CBMI | 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 |
| 2017 | RecSys | RecSys Challenge 2017: Offline and Online Evaluation. | Fabian Abel, Yashar Deldjoo, Mehdi Elahi, Daniel Kohlsdorf |
| 2017 | RecSys | Exploring the Semantic Gap for Movie Recommendations. | Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi |
| 2016 | CHI | Recommending Movies Based on Mise-en-Scene Design. | Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla |
| 2016 | RecSys | Using Visual Features and Latent Factors for Movie Recommendation. | Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi |