A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

A comprehensive survey on trustworthy recommender systems

W Fan, X Zhao, X Chen, J Su, J Gao, L Wang… - ar** users to effectively retrieve items of their
interests from a large catalogue. For a quite long time, researchers and practitioners have …

[HTML][HTML] A survey on fairness-aware recommender systems

D **, L Wang, H Zhang, Y Zheng, W Ding, F **a… - Information …, 2023 - Elsevier
As information filtering services, recommender systems have extremely enriched our daily
life by providing personalized suggestions and facilitating people in decision-making, which …

Fairness in recommendation: Foundations, methods, and applications

Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu… - ACM Transactions on …, 2023 - dl.acm.org
As one of the most pervasive applications of machine learning, recommender systems are
playing an important role on assisting human decision-making. The satisfaction of users and …

Fairness of chatgpt

Y Li, L Zhang, Y Zhang - arxiv preprint arxiv:2305.18569, 2023 - arxiv.org
Understanding and addressing unfairness in LLMs are crucial for responsible AI
deployment. However, there is a limited number of quantitative analyses and in-depth …

Dynamic causal collaborative filtering

S Xu, J Tan, Z Fu, J Ji, S Heinecke… - Proceedings of the 31st …, 2022 - dl.acm.org
Causal graph, as an effective and powerful tool for causal modeling, is usually assumed as
a Directed Acyclic Graph (DAG). However, recommender systems usually involve feedback …

Fairness definitions in language models explained

TV Doan, Z Chu, Z Wang, W Zhang - arxiv preprint arxiv:2407.18454, 2024 - arxiv.org
Language Models (LMs) have demonstrated exceptional performance across various
Natural Language Processing (NLP) tasks. Despite these advancements, LMs can inherit …