Yashar Deldjoo
Orcid: 0000-0002-6767-358X
According to our database1,
Yashar Deldjoo
authored at least 99 papers
between 2015 and 2024.
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Bibliography
2024
User Model. User Adapt. Interact., March, 2024
CoRR, 2024
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems.
CoRR, 2024
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency.
CoRR, 2024
2023
Inf. Process. Manag., 2023
Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization - A Reproducibility Study.
CoRR, 2023
CoRR, 2023
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
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
Proceedings of the Italia Intelligenza Artificiale, 2023
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023
Proceedings of the Advances in Information Retrieval, 2023
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023
2022
Proceedings of the Recommender Systems Handbook, 2022
Proceedings of the Recommender Systems Handbook, 2022
Softw. Impacts, 2022
J. Intell. Inf. Syst., 2022
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems.
Expert Syst. Appl., 2022
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling.
Expert Syst. Appl., 2022
A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks.
ACM Comput. Surv., 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
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.
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.
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Proceedings of the Advances in Information Retrieval, 2022
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.
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.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022
2021
User Model. User Adapt. Interact., 2021
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019.
ACM Trans. Intell. Syst. Technol., 2021
Explaining recommender systems fairness and accuracy through the lens of data characteristics.
Inf. Process. Manag., 2021
Simulations for novel problems in recommendation: analyzing misinformation and data characteristics.
CoRR, 2021
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality.
CoRR, 2021
CoRR, 2021
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.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
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.
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.
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.
Proceedings of the Italian Conference on Cybersecurity, 2021
ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids.
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.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Proceedings of the Advances in Information Retrieval, 2021
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
CoRR, 2020
Adversarial Machine Learning in Recommender Systems: State of the art and Challenges.
CoRR, 2020
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.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs.
Proceedings of the Semantic Web - 17th International Conference, 2020
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.
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020
2019
User Model. User Adapt. Interact., 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019
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.
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.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
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.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019
2018
Int. J. Multim. Inf. Retr., 2018
Int. J. Multim. Inf. Retr., 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval.
Proceedings of the 9th ACM Multimedia Systems Conference, 2018
Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
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.
CoRR, 2017
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System.
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.
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017
2016
J. Data Semant., 2016
A low-cost infrared-optical head tracking solution for virtual 3D audio environment using the Nintendo Wii-remote.
Entertain. Comput., 2016
Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Application of connected dominating sets in wildfire detection based on wireless sensor networks.
Int. J. Inf. Technol. Commun. Convergence, 2015
Toward Building a Content-Based Video Recommendation System Based on Low-Level Features.
Proceedings of the E-Commerce and Web Technologies, 2015
Proceedings of the 11th Biannual Conference on Italian SIGCHI Chapter, 2015