Privacy in LLM-based Recommendation: Recent Advances and Future Directions

S Luo, W Shao, Y Yao, J Xu, M Liu, Q Li, B He… - arXiv preprint arXiv …, 2024 - arxiv.org
Nowadays, large language models (LLMs) have been integrated with conventional
recommendation models to improve recommendation performance. However, while most of …

Privacy-preserving recommender system using the data collaboration analysis for distributed datasets

T Yanagi, S Ikeda, N Sukegawa, Y Takano - arXiv preprint arXiv …, 2024 - arxiv.org
In order to provide high-quality recommendations for users, it is desirable to share and
integrate multiple datasets held by different parties. However, when sharing such distributed …

A Review on Job Recommendation System

Z Zou, SH Huspi, ANA Nuar - Journal of Advanced Research …, 2024 - semarakilmu.com.my
With the rapid growth of artificial intelligence and machine learning technologies, the
recommendation system aims to help users find items that match their preferences. In order …

Exploring Comprehensive Privacy Solutions for Enhancing Recommender System Security and Utility

E Gupta, S Shinde - International Conference on Communication and …, 2023 - Springer
Nowadays recommender systems have gained large attention and have become highly
efficient tools for categorizing and personalizing the different requirements of the users in …